Description

Book Synopsis

Privacy-Enhancing Technologies and Legal Compliance: A Framework for Supporting PET Selection Based on GDPR Principles.- Prink: ks-Anonymization for Streaming Data in Apache Flink.- Stop watching me! Moving from data protection to privacy preservation in crowd monitoring.- Cross-Jurisdictional Compliance with Privacy Laws: How Websites Adapt Consent Notices to Regional Regulations. Network and Communication Security: On the Feasibility of Fingerprinting Collaborative Robot Network Traffic.- Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences.- Mitigation of PFCP Attacks in 5G Networks: Dynamic Defense through Moving Target Defense and Honeynets.- Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels.- Towards Deterministic DDS Communication for Secure Service-Oriented Software-Defined Vehicles.- TSA-WF: Exploring the Effectiveness of Time Series Analysis for Website Fingerprinting.- Generalized Encrypted Traffic Classification Using Inter-Flow Signals. IoT and Embedded Systems Securit: SHIELD: Scalable and Holistic Evaluation Framework for ML-Based 5G Jamming Detection.- AARC-FE: Electrical Assembly Authentication with Random Convolution Kernels and Fuzzy Extractors.- In Specs we Trust? Conformance-Analysis of Implementation to Specifications in Node-RED and Associated Security Risks.- Scrambling Compiler: Automated and Unified Countermeasure for Profiled and Non-Profiled Side Channel Attacks.- Leaky Batteries: A Novel Set of Side-Channel Attacks on Electric Vehicles. Machine Learning and Privacy: DP-TLDM: Differentially Private Tabular Latent Diffusion Model.- Share Secrets for Privacy. Confidential Forecasting with Vertical Federated Learning.- Gradient Inversion of Federated Diffusion Models.- Privacy-Preserving Encoding and Scaling of Tabular Data in Horizontal Federated Learning Systems.- BTDT: Membership Inference Attacks against Large Language Models.

Availability Reliability and Security

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    A Paperback by Mila Dalla Preda

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      Publisher: Springer
      Publication Date: Publication Date: 10/16/2025
      ISBN13: 9783032006233, 978-3032006233
      ISBN10: 3032006236
      Also in:
      Computer security

      Description

      Book Synopsis

      Privacy-Enhancing Technologies and Legal Compliance: A Framework for Supporting PET Selection Based on GDPR Principles.- Prink: ks-Anonymization for Streaming Data in Apache Flink.- Stop watching me! Moving from data protection to privacy preservation in crowd monitoring.- Cross-Jurisdictional Compliance with Privacy Laws: How Websites Adapt Consent Notices to Regional Regulations. Network and Communication Security: On the Feasibility of Fingerprinting Collaborative Robot Network Traffic.- Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences.- Mitigation of PFCP Attacks in 5G Networks: Dynamic Defense through Moving Target Defense and Honeynets.- Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels.- Towards Deterministic DDS Communication for Secure Service-Oriented Software-Defined Vehicles.- TSA-WF: Exploring the Effectiveness of Time Series Analysis for Website Fingerprinting.- Generalized Encrypted Traffic Classification Using Inter-Flow Signals. IoT and Embedded Systems Securit: SHIELD: Scalable and Holistic Evaluation Framework for ML-Based 5G Jamming Detection.- AARC-FE: Electrical Assembly Authentication with Random Convolution Kernels and Fuzzy Extractors.- In Specs we Trust? Conformance-Analysis of Implementation to Specifications in Node-RED and Associated Security Risks.- Scrambling Compiler: Automated and Unified Countermeasure for Profiled and Non-Profiled Side Channel Attacks.- Leaky Batteries: A Novel Set of Side-Channel Attacks on Electric Vehicles. Machine Learning and Privacy: DP-TLDM: Differentially Private Tabular Latent Diffusion Model.- Share Secrets for Privacy. Confidential Forecasting with Vertical Federated Learning.- Gradient Inversion of Federated Diffusion Models.- Privacy-Preserving Encoding and Scaling of Tabular Data in Horizontal Federated Learning Systems.- BTDT: Membership Inference Attacks against Large Language Models.

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