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[null,null,"Titolo",null,"Applications and Techniques in Information Security : 14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings / / edited by V.S. Shankar Sriram, Anila Glory H., Gang Li, Shiva Raj Pokhrel"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9797-43-8"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIII, 342 p. 192 illus., 108 illus. in color.)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2306"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Data protection"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Data and Information Security"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Computer Engineering and Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Security of Emerging Technologies in Computer Networks.  -- Advancing Quantum Computing and Cryptography.  -- Optical Neural Networks – A Strategy for Secure Quantum Computing.  -- Guarding Against Quantum Threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations.  -- Cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers.  -- Detection and Mitigation of Email Phishing.  -- Securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques.  -- Design of Image Encryption Technique Using MSE Approach.  -- Low Latency Binary Edward Curve Crypto processor for FPGA platforms.  -- Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions.  -- AI-Driven Cybersecurity: The Role of "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]