Applications and Techniques in Information Security

14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings

AvV.S. Shankar Sriram,Anila Glory H.

Häftad, Engelska, 2024

Del i serien Communications in Computer and Information Science

893 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-11-03
Mått:155 x 235 x 20 mm
Vikt:540 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:342
Förlag:Springer Verlag, Singapore
ISBN:9789819797424

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

.- 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.