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

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  • Category: Books (Computers)
  • ISBN-10:  981979742X
  • ISBN-10:  981979742X
  • ISBN-13:  9789819797424
  • ISBN-13:  9789819797424
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  981979742X-11-SPRI
  • SKU:  981979742X-11-SPRI
  • Pages:  342
  • Pages:  342
  • Item ID: 107058380
  • List Price: $89.99
  • Seller: ShopSpell
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  • Delivery by: Oct 01 to Oct 03
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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 lS!

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