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Applications and Techniques in Information Security 14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings /

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 confere...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Shankar Sriram, V.S (Golygydd), H., Anila Glory (Golygydd), Li, Gang (Golygydd), Pokhrel, Shiva Raj (Golygydd)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Rhifyn:1st ed. 2025.
Cyfres:Communications in Computer and Information Science, 2306
Pynciau:
Data protection.
Artificial intelligence.
Computer networks .
Education > Data processing.
Computer engineering.
Data and Information Security.
Artificial Intelligence.
Computer Communication Networks.
Computers and Education.
Computer Engineering and Networks.
Mynediad Ar-lein:https://doi.org/10.1007/978-981-97-9743-1
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Tabl Cynhwysion:
  • -- 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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