WAP (wireless) technology Books

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Book SynopsisThis is an open access book.It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.Table of ContentsIntroduction.- Mobile Edge Computing.- Mobile Edge Caching.- Mobile Edge Computing for 5G Beyond/6G.- Mobile Edge Computing for Internet of Vehicles.- Mobile Edge Computing for UAVs.- The Future of Mobile Edge Computing.

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Book SynopsisAddressing the most dynamic areas of the ever-changing telecommunications landscape, the second edition of the bestselling CRC Handbook of Modern Telecommunications once again brings together the top minds and industry pioneers in wireless communication networks, protocols, and devices. In addition to new discussions of radio frequency identification (RFID) and wireless sensor networks, including cognitive radio networks, this important reference systematically addresses network management and administration, as well as network organization and governance, topics that have evolved since the development of the first edition. Extensively updated and expanded, this second edition provides new information on: Wireless sensor networks RFID Architectures Intelligent Support Systems Service delivery integration with the Internet Information life cycle and service level management Management ofTable of ContentsVoice and Data Communications. Computer Telephone Integrated (CTI). Voice over IP. Local Area Networks. RFID Architecture and Protocols. Design of Wireless Sensor Network Applications, Hardware and Software. Multimedia Applications for Cognitive Radio Networks. Intranets. Internet and Intranet Management Concepts, Virtual Private Networking Solutions. Web-Enabled Data Warehousing. Web Performance Management.Application Performance Management. Electronic Technologies. Internet Protocols, Role of Open Source Software. Summary and Trends. Network Management and Administration. Management Concepts, Management of Emerging Technologies. Management-Related Standards. Management Function, Support Systems for Service Providers. Support Processes for Service Providers. Management Frameworks and Applications. Intelligence Support Systems. Management of Sensor Networks. Solution Architectures. Summary and Trends. Network Organization and Governance. Information Life Cycle Management. Information Technology Alignment with Businesses. Business Intelligence and Analytics. Service-Level Management. Management Services and Outsourcing. Network Management Organization. Best Practices Benchmarks for Service Providers. Summary and Trends. Future Telecommunications Services. User Needs. Application Trends. Systems and Service Integration for Management. New Produce and Service Creation. Telecommunications Tariffing. Telecommunications Strategies.

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Book SynopsisReviewing the previous edition, "IEEE Microwave Magazine" boasted, "anyone designing power amplifiers will find this book thought provoking and useful." Professionals in the field agreed as the book went on to be one of our top-selling RF design titles. This extensively revised edition of "RF Power Amplifiers for Wireless Communications" offers practitioners a comprehensive, practical, and up-to-date understanding of how to tackle a PA (power amplifier) design with confidence and quickly determine the cause of malfunctioning hardware. Among the numerous updates, the Second Edition includes five new chapters on some of today's most important topics, such as class AB PAs at GHz frequencies; switching PA modes at GHz frequencies; signals, modulation systems, and PA nonlinearities; power amplifier bias circuit design; and load-pull techniques. Supported with nearly 200 illustrations, the book contains the most complete survey of RF PA efficiency enhancement and linearization techniques in a single volume.Table of ContentsLinear PA Design. Conventional High-Efficiency Amplifier Modes. Class AB PAs at GHz Frequencies. Practical Design of Class AB PAs. Overdrive and the Class F Mode. Switching Mode Amplifiers for RF Applications. Switching PA Modes at GHz Frequencies. Signals, Modulation Systems, and PA Nonlinearities. Efficiency Enhancement Techniques. Power Amplifier Bias Circuit Design. Power Amplifier Architecture. PA Linearization Techniques.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis.- FEKNN: A Wi-Fi Indoor Localization Method Based on Feature Enhancement and KNN..- Smartphone Indoor Fusion Localization with Trust Region-Based Magnetic Matching..- Multi-agent Deep Reinforcement Learning-based UAV-enable NOMA Communication Networks Optimization..- BufferConcede: Conceding Buffer for RoCE Traffic in TCP/RoCE Mix-Flows..- An Effective Cooperative Jamming-based Secure Transmission Scheme for a Mobile Scenario..- ID-Gait: Fine-grained Human Gait State Recognition using Wi-Fi Signal..- Anti-Packet-Loss Encrypted Traffic Classification via Masked Autoencoder..- Graph Transformer Hawkes Processes for Causal Structure Learning in Telecom Networks..- Design of Maritime End-to-End Autoencoder Communication System Based on Compressed Channel Feedback..- ZigRa: Physical-layer Cross-Technology Communication from ZigBee to LoRa..- Wireless Portable Dry Electrode Multi-channel sEMG Acquisition System..- A Double Layer Consensus Optimization Mechanism in DAG-based Blockchain for Carbon Trading..- Probabilistic Offloading Algorithm for Opportunistic Networks Integrating Node Influence Prediction..- Secret Sharing Based Key Agreement Protocol for Body Area Networks..- Active Detection Based NTP Device Attribute Detection..- Cyber Sentinel: Fortifying Voice Assistant Security with Biometric Template Integration in Neural Networks..- Traceable Health Data Sharing Based on Blockchain..- KD-Eye: Lightweight Pupil Segmentation for Eye Tracking on VR Headsets via Knowledge Distillation..- Meta-RFF: Few-Shot Open-Set Incremental Learning for RF Fingerprint Recognition via Multi-phase Meta Task Adaptation..- Left Ventricular Hypertrophy Detection Algorithm Using Feature Selection and CNN-LSTM..- Application with Digital Currencies Trading Using Machine Learning..- Mobile Crowdsourcing Task Assignment Algorithm Based on ConvNeXt and GRU..- Inferring the Number of Clusters for Radar Emitters via Threshold Segmentation and Information Fusion..- Enhancing Student Classroom Behavior Detection Using Improved SlowFast..- LV-auth: Lip Motion Fusion for Voiceprint Authentication..- Generative Model-Based Edge-Assisted Object Detection in Bandwidth-Constrained Network..- Enhancing Generalized Zero-shot Learning with Dynamic Selective Knowledge Distillation..- BehaMiner: System Behavior Mining for Audit Log based on Graph Learning..- REHG: A Recommender Engine Based on Heterogeneous Graph..- Step-by-Step and Tailored Teaching: Dynamic Knowledge Distillation..- TBA-GNN: A Traffic Behavior Analysis Model with Graph Neural Networks for Malicious Traffic Detection..- Enhancing Adversarial Robustness in Automatic Modulation Recognition with Dynamical Systems-Inspired Deep Learning Frameworks..- E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks..- Sophon IDS: Mitigating the Effectiveness of GAN-based Adversarial Attacks via Tailored Misinformation..- An Early Warning Method for Fracturing Accidents Using Joint CNN and LSTM Modeling..- Defense Strategy in Federated Learning: Unveiling Stealthy Threats and the Similarity Filter Solution..- FedScale: A Federated Unlearning Method Mimicking Human Forgetting Processes..- The Client-level GAN-based Data Reconstruction Attack and Defense in Clustered Federated Learning..- Byzantine-Robust Federated Learning Based on Blockchain..- FedDue: Optimizing Personalized Federated Learning through Dynamic Update Classifier..- FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks.

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Book Synopsis.- FedMQ: Multi-grained Quantization for Heterogeneous Federated Learning..- A Secure and Efficient Privacy Data Aggregation Mechanism..- A Lightweight Method to Survey with Protecting Privacy yet Maintaining Accuracy..- A Method for Abnormal Detection and Poisoned Data Recovery in Clustered Federated Learning..- FedDAGC: Dynamic Adaptive Graph Coarsening for Federated Learning on Non-IID Graphs..- Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data..- Federated Learning for Edge Heterogeneous Object Detection Algorithm..- CoR-FHD: Communication-Efficient and Robust Federated Hyperdimensional Computing for Activity Recognition..- Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology..- Fair and Communication-Efficient Personalized Federated Learning..- Distributed & Personalized Federated Learning in Wireless Ad Hoc Networks..- DS-TFP: A Distributed and Secure Traffic Flow Prediction Framework Based on Federated Graph Learning..- Federated Dynamic Graph Fusion Framework for Remaining Useful Life Prediction..- FEAttack: A Fast and Efficient Hard-Label Textual Attack Framework..- Pleno-Sense: An Adaptive Switching Algorithm towards Robust Respiration Monitoring Across Diverse Motion Scenarios..- Inter-Technology Backscatter Communication: A Bidirectional Zigbee-BLE System..- Distributed Dynamic Virtual Network Embedding in Container Networks..- Automatic Modulation Recognition Using Parallel Feature Extraction Architecture..- A Message Routing Algorithm Based on the Importance of Node Social Relationships in Opportunistic Mobile Networks..- Real-time Atmospheric Duct Height Prediction Framework Based on Spatio-temporal to Ensure Maritime Communication Security..- An Extra Diagnosis Algorithm for Conditional Recursive Match Networks under the PMC Model..- Personalized mmWave Signal Synthesis for Human Sensing..- Remorabook: Privacy-Preserving Mobile Social Networking Based on Remora Computing..- DSBA: Dynamic Sharded Blockchain Architecture for Industrial Emergency Data Sharing..- A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain Systems..- Active Defense Simulation Evaluation of Industrial Control Systems Based on Attack-Defense Graph..- Hybrid Heterogeneous Wireless Chargers Placement..- An Efficient Fault-tolerant Communication Scheme in 3-ary n-cube Networks..- 3D Physical Layer Secure Transmission for UAV-assisted Mobile Communications without Locations of Eavesdroppers..- Adaptive Self-healing Routing for Heterogeneous Ambient Backscatter Wireless Sensor Networks..- Joint Optimization of Maximum Achievable Rate in SWIPT Systems Assisted by Active STAR-RIS..- Anonymity on Byzantine-Resilient Decentralized Computing..- A DRL-Based Edge Intelligent Servo Control with Semi-Closed-Loop Feedbacks in Industrial IoT..- Anomaly Detection under Normality-Shifted IoT Scenario: Filter, Detection, and Adaption..- DevDet: Detecting IoT Device Impersonation Attacks via Traffic Based Identification..- Multiscale Adversarial Domain Adaptation Approach for Cloud-Edge Collaborative Fault Diagnosis of Industrial Equipment..- Detection and Localization of Malicious Nodes in Internet of Things Based on SDN..- Enhancing Scalability: A Complete Tree Sharding Architecture towards IoT..- A Cloud-Edge Integrated Water Body Extraction Using Superpixel Segmentation..- Layer-Aware Microservice Deployment for Edge Computing with Service Reliability Provisioning..- FusionFlow: Neural Fusion and Compression for Communication Efficient Edge-Cloud Collaborative Computing..- Toward Low Overhead and Real-time Multi-vehicle Collaborative Perception via V2V Communication.

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Book Synopsis.- Efficient Online Path Selection and Workload Allocation for In-network Computing in MEC..- CO-LEACH: Cooperative Data Collection Protocol for Data Heterogeneous WSNs..- Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline..- Truthful Double Auction-Based Resource Allocation Mechanisms for Latency-Sensitive Applications in Edge Clouds..- V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion..- Recommendation-Aware Collaborative Edge Caching Strategy in the Internet of Vehicles..- Towards Robust Internet of Vehicles Security: An Edge Node-Based Machine Learning Framework for Attack Classification..- Device-edge-cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning..- Consistent Low-latency Scheduling for Microsecond-Scale Tasks in Data Centers..- Multi-scale Data Reconstruction Based Policy Optimization Algorithm for Skill Learning..- Joint Optimization Design of Intelligence Reflecting Surface Assisted MU-MISO System Based on Deep Reinforcement Learning..- Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme..- Variational Autoencoder based Automatic Clustering for Multivariate Time Series Anomaly Detection..- Deep Reinforcement Learning based Economic Dispatch with Cost Constraint in Cyber Physical Energy System..- InceptionNeXt Network with Relative Position Information for Microexpression Recognition..- AdMarks: Image Steganography Based on Adversarial Perturbation..- A Review on Binary Code Analysis Datasets..- Low-cost Robot Path Planning Mechanism for Escaping from Dead Ends..- Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation..- Improving Anomaly Scene Recognition with Large Vision-Language Models..- ReSU-Net: State Space Model for 3D Abdominal Multi-organ Segmentation..- Autocue: Targeted Textual Adversarial Attacks with Adversarial Prompts..- Universal Sign Language Recognition System Using Gesture Description Generation and Large Language Model..- A High-precision Generality Method for Chinese Nested Named Entity Recognition..- Tree of Thought Prompt in Robotic Arm Control.

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Book SynopsisChapter 1. Introduction.- Chapter 2. UAVs in the Next Generation Wireless Networks: Background & Literature Review.- Part I. PSO-based Algorithmic Solutions for UAV-Assisted mMIMO Communications.- Chapter 3. Joint HBF and UAV Deployment in Dual-Hop SU-mMIMO Systems.- Chapter 4. PSO-Based UAV-Assisted DF Relaying in Terrestrial MU-mMIMO System.- Chapter 5. Multiple UAV-Assisted Cooperative DF Relaying for Enhanced Coverage and Capacity.- Part II. Low-Complexity DL-Based Solutions for Real-time UAV-Assisted MU-mMIMO Communications.- Chapter 6. Joint UAV Location and PA Optimization: A Deep SL (DSL) Approach.- Chapter 7. UAV Deployment Based on Deep RL (DRL) in Dynamic Communication Networks.- Chapter 8. A Codebook-Based DRL Approach for UAV Deployment & Trajectory Design.- Chapter 9. Conclusions & Future Works.

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Book Synopsis With 5G, telecommunications networks have entered a new phase. 5G mobile networks use unique concepts and technologies to deliver current and future applications across a wide spectrum, from high bit-rate smartphones to high-availability car-to-x and mass IoT applications. This book on 5G technology starts with the evolution of mobile networks to 5G. It then addresses basic concepts and technologies such as NGN, IMS, virtualization with NFV and MEC, SDN, and Service Function Chaining. The 5G environment is comprehensively presented, starting with use cases and usage scenarios and moving on to concrete requirements, as well as the standardization at ITU and especially 3GPP, including regulation. In this context, the 5G system design, the 5G access networks with their high-performance transmission technology, and the core network with the innovative concepts of Service Based Architecture and Network Slicing play a significant role. A 5G system is presented here in an integrated view, rounded off by an overview of all relevant IT security aspects. The overall view is concluded by looking at the environmental influences of electromagnetic radiation and the energy and raw material resources requirements. Furthermore, the future development of 5G up to 6G is outlined. The book's main objective is to provide people interested in 5G technology and application scenarios with a well-founded knowledge for an introduction to 5G and encourage further discussion of this topic. The target audience is generally technically interested persons, mostly employees of public and private network operators. This book should be of particular interest, especially within the IT departments of potential 5G user companies, and of course, among computer science and electrical engineering students.

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Book Synopsis.- A Context-Aware Mental Health LLM Chatbot with Enhanced Security..- FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning..- DP-CDA: A Pricing Mechanism for Edge Computing Resources Based on Combinatorial Double Auction and Differential Privacy Preservation..- Jamming-Resilient Data Aggregation for UAV Ad Hoc Networks..- Discovering PLC Web Application Vulnerabilities Impacting Physical Control Using LLM-based Fuzzing..- DSRNet: Hybrid Deep Learning-based Channel Estimation for RIS-Aided Wireless Communication..- Friend discovery scheme with privacy protection in mobile social networks..- Channel Selection for EEG Biometrics under Emotion Simulations..- Intelligent Re-Encryption and Commitment-Driven Dynamic Data Sharing..- EHFC: Enhanced Format Clustering via Pre-trained Traffic Model..- High-Precision Ranging Fusion using Neural Network for Bluetooth Channel Sounding..- Soft Multi-View Representation Learning for Disambiguating Text-based Person Retrieval..- FedSPA: Federated Learning with Similarity-based Prototype Aggregation..- Timed and Decentralized Wireless Broadcasting System..- A High-Performance AI Processor Architecture: Integrating Multi-Controller with Hybrid DDR Memory..- A DRL-Based Deviation-Aware Federated Digital Twin Construction over Wireless Edge Network..- SEER: A Slothful Encoding to Mitigate Read Error of Stop-in-Middle Domain-Wall for Reliable Racetrack Memory..- Breaking the Energy Efficiency-Stability Trade-off: Optimal Lyapunov V Tuning for Wireless-Powered MEC..- STA-Hyper: Hypergraph-based Spatio-Temporal Attention Network for Next Point-of-Interest Recommendation..- Generative Adversarial CLIPs for Unsupervised Backlit Image Enhancement..- MRCC: A Congestion Control Algorithm for Enhanced QoE in Real-Time Networks..- Privacy-Preserving Credential Management for Blockchain-Based Self-Sovereign Identity..- Wireless Resource Optimization for UAV Swarm Cooperative Sensing via Multi-Agent Multi-Task Deep Reinforcement Learning..- A Blockchain-enhanced Hybrid Scheme for Right Registration and Handover..- Parallelization Techniques for Large Language Models: A Review from Training to Inference..- DRL-based Computation Offloading and Resource Allocation in THz Band..- The Defense Against Backdoor Attacks Using Trigger Inversion and Data Augmentation in Clustered Federated Learning..- ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks..- Accelerating Elliptic Curve Digital Signature verification on FPGA for secure communication..- Generative Pretrained Transformer for Wireless Traffic Prediction..- LEO-Integrated Based Partial Task Offloading Optimization in Vehicular Networks..- Online Personalized Federated Learning Methods for Intrusion Detection in Dynamic UAV Networks..- Real-Time Reliable Large Language Models with Distributed Knowledge Crowdsourcing for Automotive Mobile Intelligence..- Adaptive Feature Fusion Enhanced Cascade Pointer Network for Chinese Relation Extraction..- Quantum Machine Learning: Hybrid System of Quantum and Classical Computing.

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Book Synopsis.- GAT-Enhanced DRL Decision Framework for Joint Routing and Scheduling under Vehicular Time-Sensitive Networking..- CSI-Cro A Cross-Domain Sign Language Recognition System Based on Dual-Attention Feature Decoupled Network..- Latency-Optimal and Memory-Aware Model Partitioning for Cooperative Inference at the Edge..- A Sub-Domain Index System for Network Security Situation Assessment..- Integrating Pretrained Models with Graph Neural Networks for Smart Contract Interpretability..- A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups..- Improving the Freshness of Digital Twins in Edge Computing..- Joint Offloading and Resource Allocation Optimization based on Multi-coupled Directed Acyclic Graphs for IIoT..- SeRed: A Selective Reduction Method for Efficient Network Flow Storage..- CAG: A Constraint-Driven Adversarial Traffic Generation Scheme Based on Feature Correlations..- A Supervisor-Oriented Privacy-Preserving Fair Exchange Scheme for V2G..- MACROSS: End-to-End Network Attack Detection Model for EV Charging Station Based on Temporal-Frequency Feature Fusion..- Game Theory-Based Secure Deduplication Method..- A Cuckoo Filter-based Anomaly Detection and Localization Mechanism for SDN-based Multidomain IoT..- Enhancing Federated Learning in IoT Through Dynamic Spectral Clustering..- Differentially Private Vertical Federated Learning with Dual-Sparsification..- Bandwidth Prediction within Playback-time of Buffer Duration based on Frame-level Stable Segment for Live Streaming..- MissingClip: An Industrial Anomaly Detection Method under Modality Missing..- Multi-Preference Sequence Recommendation Transformer..- Exploring Heterogeneity in Federated Learning..- Diverse Delay-Sensitive Task Offloading and Resource Allocation for IIoT: An SoI Enhanced Approach..- DEFA: A Prairie Rat-hole Target Detection Algorithm Integrating Depth Estimation Based on MiDas..- PIS-EnsemNet: A novel method for predicting the number of devices in hotspot sharing networks based on passive measurement..- Joint Hierarchical Feature Fusion and Progressive Learning for Topology Robustness Prediction..- A SCA-Based Method for RIS Assisted Over-the-Air Computation..- MPAM: Dual-Transformer for Millimeter-Wave Sensing Based Multi-person Activity Monitoring System..- Dynamic Graph-based Semi-Supervised Anomaly Detection for In-Vehicle CAN Bus Network..- A Model of Multi-order Sampling Neighbor Aggregation for Traffic Flow Prediction..- Physics-Informed Transformer for Efficient Fluid Dynamics Predictions..- ICSPFuzzer: An Efficient Fuzzing Technique for ICS Protocols..- MRT-DETR: A New Real-Time Object Detection Method..- MASS: Empowering Wi-Fi Human Sensing with Metasurface-Assisted Sample Synthesis..- DDC Sketch: A Dynamically Adaptive Framework for Network Traffic Measurement..- Timely Watchers: Cost-Effective Schedule for Urban Sensor Patrols..- vGPU Performance Testing Framework for Large Model Inference.

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Book Synopsis.- FedBridgeICL: Federated Bridging of Small and Large Models for In-Context Learning..- Hierarchical DRL-Based Multi-Motor Control with Torque Synchronization in Industrial IoT..- Double Spending Defense in Consortium Blockchain under Network Partitioning..- PM-SRCANet: A Privacy-preserving Multimodal Stress Recognition Convolutional Attention Network Model..- Data Augmentation Based on Neighborhood Effects to Steer User Interests..- Research on location privacy protection methods in vehicle networking..- A Fair Rate Shaping-Based Congestion Control Strategy for Remote Sensing Satellite Networks..- Resilient Cooperative Computing for Satellite Mobile Edge Computing Using Multi-Agent DRL..- FedALoRA:Adaptive Local LoRA Aggregation for Personalized Federated Learning in LLM..- A Lightweight Transformation Method for Privacy Protection in Image Classification..- CSVA: Complexity-Driven and Semantic-Aware Video Analytics via Edge-Cloud Collaboration..- Efficient Task Offloading and Resource Allocation in Space-Air Ground-Sea Networks: A MAPPO-based Approach..- A Fine-grained Resource Allocation Strategy for Industrial TSN-5G Networks..- A Task Feature Prediction Approach for Adaptive Computation Offloading in VEC..- Exploiting Viaduct Blocking Effects for Enhanced Spectrum Availability in Cognitive Radio-Assisted Internet of Vehicles..- Feature Compression with Spatial Reduction and Hyperprior Enhancement for Collaborative Intelligences..- Black-box universal adversarial attack targeting speaker recognition models..- GraphFT: A Lightweight Fault-tolerant Framework for Iterative Graph Processing..- Byzantine-Resilient Differentially Private Federated Learning: A Dual-Phase Group-wise Aggregation Approach..- Deep Decision Algorithm for DNA Image Storage: Enhancing Accuracy with Edit Distance-Based Quality Assessment..- DROIT: A Distributed Robustness Optimization Scheme with Local Information for IoT Topology..- A Hybrid EEG Forecasting Model with Rolling Mapping-Partial Decomposition and LSTM..- A Joint Learning and Communication Framework for Intrusion Detection in Wireless Networks with High-speed UAVs..- Adaptive Privacy Defense Against Category Inference Attack in Clustered Federated Learning: Balancing Security and Model Performance..- An open X-ray spectrometric dataset for deep-learning based pile-up correction..- KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting..- Guarding Semantic Communication: A Proactive Security Mechanism Against Eavesdropping..- DeepTTF: A Deep Tree Traffic Forecast Model Based on Tree Structure..- TransGER: Transformer-Based CNN-BiGRU Architecture for sEMG Gesture Recognition in Time-Frequency Domain..- Multi-Layer IRS-Assisted Wireless-Powered Secure Terahertz Communication..- A Practical Deep Reinforcement Learning-based QoS-Aware Scheduler for 5G Cellular Networks..- Fast Autonomous Exploration in Complex Environments via the Farthest Cluster Representative and Dynamic Information Gain..- Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems..- Quantum Routing Design and Implementation for LEO Satellite Networks..- AICom2..- Nvwa Patches Up the Block: A Powerful Model for Error Concealment in Panoramic Video Transmission..- Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI..- A Security Sharing Scheme for Multi-Institutional Access Control of Medical Data Based on Blockchain..- A Secure and Efficient Data Sharing Framework for IoV Using Blockchain and Reputation-Based Incentive Mechanism..- A PSO-based Method for Finding Approximately Optimal Order for LLL Algorithm..- Blockchain-based Privacy-preserving Asynchronous Federated Learning..- Multilayer Context Network: A New Approach for Gait Phase Detection..- Energy-Constrained Joint Path Planning for Vehicle-UAVs in Task Point Coverage..- A Blockchain-Assisted Certificateless Authentication Protocol for Internet of Vehicles..- A Dynamic Frame Slotted ALOHA Based on Q-Learning.

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Book SynopsisPramod Nair is a Lead Security Architect at Cisco Systems focusing on service providers. During his 20 years of experience in the industry, Pramod has worked in multiple areas, including research and development, designing end-to-end mobile networks, and technical consulting on military and defense projects. Among other responsibilities in his current role within Cisco, Pramod leads 5G Security Architecture, driving its adoption globally, and has been instrumental in architecting secure next-generation networks for customers across the globe. He is a regular speaker on the subject at large conferences and industry events. Pramod is an active member of the security community. His role is to help mobile network providers, service providers, industry verticals, the national security and defense sectors, and other agencies dedicated to securing critical infrastructures. He is also deeply involved with industry trade organizations, has co-chaired the 5G secTable of ContentsForeword xv Preface xvi Acknowledgments xxi About the Author xxii Part I Evolution of Cellular Technologies to 5G, Security Enhancements, and Challenges Chapter 1: Evolution from 4G to 5G 2 Mobile Network Evolution from 4G to 5G.. . . . . . . . . . . . . . . . . . 4 Key 5G Features in 3GPP Releases.. . . . . . . . . . . . . . . . . . . . 18 Key 5G Advanced Features.. . . . . . . . . . . . . . . . . . . . . . . 20 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Chapter 2: Deployment Modes in 5G 26 5G NSA and SA Deployments.. . . . . . . . . . . . . . . . . . . . . . 27 5G Time-Sensitive Networks.. . . . . . . . . . . . . . . . . . . . . . . 42 5G Local Area Network–Type Service.. . . . . . . . . . . . . . . . . . . 44 Private 5G/Non-Public Networks.. . . . . . . . . . . . . . . . . . . . . 46 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 Chapter 3: Securing 5G Infrastructure 56 3GPP 5G Security Enhancements.. . . . . . . . . . . . . . . . . . . . . 57 Security Challenges in 5G. . . . . . . . . . . . . . . . . . . . . . . . 74 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Acronyms Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Part II Securing 5G Architectures, Deployment Modes, and Use Cases Chapter 4: Securing RAN and Transport Deployments in 5G 82 5G RAN and Transport Threats. . . . . . . . . . . . . . . . . . . . . . 84 Securing 5G RAN and Transport.. . . . . . . . . . . . . . . . . . . . . 92 Real Scenario Case Study: Examples of Threat Surfaces and Their Mitigation. . 125 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 Chapter 5: Securing MEC Deployments in 5G 142 Service Provider Network-Based MEC.. . . . . . . . . . . . . . . . . . 144 Enterprise Network-Based MEC.. . . . . . . . . . . . . . . . . . . . . 145 MEC Deployment Models.. . . . . . . . . . . . . . . . . . . . . . . . 146 Threat Surfaces in 5G MEC Deployments.. . . . . . . . . . . . . . . . . 154 Securing 5G MEC.. . . . . . . . . . . . . . . . . . . . . . . . . . . 178 Real Scenario Case Study: MEC Threats and Their Mitigation.. . . . . . . . . 217 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 Chapter 6: Securing Virtualized 5G Core Deployments 234 A Brief Evolution of Virtualization in Telecommunications.. . . . . . . . . . . 235 Threats in Virtualized 5G Packet Core Deployments.. . . . . . . . . . . . . 240 Securing Virtualized 5G Packet Core Deployments.. . . . . . . . . . . . . 257 Real Scenario Case Study: Virtualized 5GC Threats and Mitigation.. . . . . . . 281 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296 Chapter 7: Securing Network Slice, SDN, and Orchestration in 5G 298 Network Slicing and Its Enablers—SDN and Orchestration. . . . . . . . . . 299 Threat Surfaces in 5G Network Slice, SDN, and Orchestration Deployments.. . . 309 Mitigation of Threats.. . . . . . . . . . . . . . . . . . . . . . . . . . 327 Real Scenario Case Study: Threats in the 5G Network Slice, SDN, and Orchestration Deployments and Their Mitigation. . . . . . . . . . . . . 355 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 Key Acronyms.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 372 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374 Chapter 8: Securing Massive IoT Deployments in 5G 376 Massive IoT–Based Threats in 5G.. . . . . . . . . . . . . . . . . . . . 380 Securing mIoT Deployments in 5G Networks.. . . . . . . . . . . . . . . . 391 Real Scenario Case Study: mIoT Threats and Their Mitigation.. . . . . . . . . 414 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418 Key Acronyms.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 420 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422 Chapter 9: Securing 5G Use Cases 424 Secure 5G Smart Factory and Manufacturing. . . . . . . . . . . . . . . . 425 Critical Infrastructure.. . . . . . . . . . . . . . . . . . . . . . . . . . 437 5G Vehicle-to-Everything (5G-V2X).. . . . . . . . . . . . . . . . . . . . 447 Standards and Associations.. . . . . . . . . . . . . . . . . . . . . . . 463 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465 Key Acronyms.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 465 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467 Part III End-to-End 5G Security Architecture and Prioritizing Security Investments Chapter 10: Building Pragmatic End-to-End 5G Security Architecture 468 Foundations of 5G Security.. . . . . . . . . . . . . . . . . . . . . . . 470 Key Tenets of 5G Security Architecture.. . . . . . . . . . . . . . . . . . 472 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 Acronyms Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 498 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501 Chapter 11: Prioritizing 5G Security Investments 502 Method of Prioritizing Security Controls.. . . . . . . . . . . . . . . . . . 505 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532 Acronyms Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 533 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534 Part IV Emerging Discussions Chapter 12: 5G and Beyond 536 Adoption and Adaptability of 5G and Evolving Technologies.. . . . . . . . . 537 Convergence of Wi-Fi and Evolving Cellular Technologies.. . . . . . . . . . 539 Use of AI and ML in Securing 5G and Evolving Networks.. . . . . . . . . . . 543 Crypto Agility in 5G and Evolving Technologies.. . . . . . . . . . . . . . . 546 Summary.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548 Acronym Key.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548 References.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 550 9780137457939, TOC, 10/27/2021

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Book SynopsisBroadband Last Mile: Access Technologies for Multimedia Communications provides in-depth treatments of access technologies and the applications that rely upon them or support them. It examines innovations and enhancements along multiple dimensions in access, with the overarching goal of ensuring that the last mile is not the weak link in the broadband chain. Written by experts from the academic and commercial segments of the field, the book's self-contained sections address topics related to the disciplines of communications, networking, computing, and signal processing.The core of this treatment contains contemporary reviews of broadband pipes in the classes of copper, cable, fiber, wireless, and satellite. It emphasizes the coexistence of these classes within a network, the importance of optical communications for unprecedented bandwidth, and the flexibility and mobility provided by wireless.The book also includes perspective on the increasingly important topic of network management, providing insights that are true regardless of the nature of the pipe. The text concludes with a discussion of newly emerging applications and broadband services.This book offers an all-in-one treatment of the physical pipes and network architectures that make rich and increasingly personalized applications possible. It serves as a valuable resource for researchers and practitioners working in the increasingly pervasive field of broadband.Table of ContentsBroadband in the Last Mile: Current and Future Applications. The Last Mile, the Edge, and the Backbone. Last-Mile Copper Access. Last-Mile HFC Access. Optical Access: Networks and Technology. Last-Mile Wireless Access in Broadband and Home Networks. Satellite Technologies Serving as Last-Mile Solutions. Management of Last-Mile Broadband Networks. Emerging Broadband Services Solutions.

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