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.
.- 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 lC