Applications and Techniques in Information Security (eBook, PDF)

14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings
Redaktion: Shankar Sriram, V. S.; Pokhrel, Shiva Raj; Li, Gang; H., Anila Glory

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 14th International Conference, on Applications and Techniques in Information Security, ATIS 2024, held in Tamil Nadu, India, November 22-24, 2024.

The 24 full papers presented were carefully reviewed and selected from 149 submissions. The conference focuses on Advancing Quantum Computing and Cryptography; AI-Driven Cybersecurity: The Role of Machine Learning; Advancing Cybersecurity with Deep Learning Techniques; and Securing Connected Systems: IoT, Cloud, and Web Security Strategies.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 342
• Erscheinungstermin: 2. November 2024
• Englisch
• ISBN-13: 9789819797431
• Artikelnr.: 72242930

Inhaltsangabe

.- 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.