Description

Book Synopsis

.- Security of Emerging Technologies in Computer Networks.

.- Advancing Quantum Computing and Cryptography.

.- Optical Neural Networks A Strategy for Secure Quantum Computing.

.- Guarding Against Quantum Threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations.

.- Cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers.

.- Detection and Mitigation of Email Phishing.

.- Securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques.

.- Design of Image Encryption Technique Using MSE Approach.

.- Low Latency Binary Edward Curve Crypto processor for FPGA platforms.

.- Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions.

.- AI-Driven Cybersecurity: The Role of Machine Learning.

.- Machine Learning Approach for Malware Detection Using Malware Memory Analysis Data.

.- DDOS Attack Detection in Virtual Machine Using Machine Learning Algorithms.

.- An Unsupervised Method for Intrusion Detection using Novel Percentage Split Clustering.

.- HATT-MLPNN: A Hybrid Approach for Cyber-Attack Detection in Industrial Control Systems Using MLPNN and Attention Mechanisms.

.- Silent Threats: Monitoring Insider Risks in Healthcare Sector.

.- Advancing Cybersecurity with Deep Learning Techniques.

.- Enhanced Deep Learning for IIoT Threat Intelligence: Revealing Advanced Persistent Threat Attack Patterns.

.- Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities.

.- Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems.

.- GAN-Enhanced Multiclass Malware Classification with Deep Convolutional Networks.

.- Securing Connected Systems: IoT, Cloud, and Web Security Strategies.

.- IOT Based Locker Access System with MFA Remote Authentication.

.- A Secure Authentication Scheme between Edge Devices using HyperGraph Hashing Technique in IoT Environment.

.- Enhancing Access Control and Information Sharing in Cloud IoT with an Effective Blockchain-Based Authority System.

.- Securing Data in MongoDB: A Framework Using Encryption.

.- Handling Sensitive Medical Data A Differential Privacy enabled Federated Learning Approach.

.- Securing your Web Applications: The Power of Bugbite Vulnerability Scanner.

Applications and Techniques in Information Security

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    £76.49

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    RRP £84.99 – you save £8.50 (10%)

    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by V.S. Shankar Sriram

    15 in stock


      View other formats and editions of Applications and Techniques in Information Security by V.S. Shankar Sriram

      Publisher: Springer
      Publication Date: 03/11/2024
      ISBN13: 9789819797424, 978-9819797424
      ISBN10:

      Description

      Book Synopsis

      .- Security of Emerging Technologies in Computer Networks.

      .- Advancing Quantum Computing and Cryptography.

      .- Optical Neural Networks A Strategy for Secure Quantum Computing.

      .- Guarding Against Quantum Threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations.

      .- Cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers.

      .- Detection and Mitigation of Email Phishing.

      .- Securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques.

      .- Design of Image Encryption Technique Using MSE Approach.

      .- Low Latency Binary Edward Curve Crypto processor for FPGA platforms.

      .- Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions.

      .- AI-Driven Cybersecurity: The Role of Machine Learning.

      .- Machine Learning Approach for Malware Detection Using Malware Memory Analysis Data.

      .- DDOS Attack Detection in Virtual Machine Using Machine Learning Algorithms.

      .- An Unsupervised Method for Intrusion Detection using Novel Percentage Split Clustering.

      .- HATT-MLPNN: A Hybrid Approach for Cyber-Attack Detection in Industrial Control Systems Using MLPNN and Attention Mechanisms.

      .- Silent Threats: Monitoring Insider Risks in Healthcare Sector.

      .- Advancing Cybersecurity with Deep Learning Techniques.

      .- Enhanced Deep Learning for IIoT Threat Intelligence: Revealing Advanced Persistent Threat Attack Patterns.

      .- Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities.

      .- Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems.

      .- GAN-Enhanced Multiclass Malware Classification with Deep Convolutional Networks.

      .- Securing Connected Systems: IoT, Cloud, and Web Security Strategies.

      .- IOT Based Locker Access System with MFA Remote Authentication.

      .- A Secure Authentication Scheme between Edge Devices using HyperGraph Hashing Technique in IoT Environment.

      .- Enhancing Access Control and Information Sharing in Cloud IoT with an Effective Blockchain-Based Authority System.

      .- Securing Data in MongoDB: A Framework Using Encryption.

      .- Handling Sensitive Medical Data A Differential Privacy enabled Federated Learning Approach.

      .- Securing your Web Applications: The Power of Bugbite Vulnerability Scanner.

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