Cryptology and Network Security with Machine Learning

Cryptology and Network Security with Machine Learning portes grátis

Cryptology and Network Security with Machine Learning

Proceedings of ICCNSML 2022

Hasan, Sartaj Ul; Roy, Bimal Kumar; Tsaban, Boaz; Chaturvedi, Atul

Springer Verlag, Singapore

10/2023

470

Dura

Inglês

9789819922284

15 a 20 dias

Descrição não disponível.
Role and Applications of Emerging Technologies in Smart City Architecture.- A Review on Blockchain based Electronic Health Record (EHR) system for Secure Data Storage.- SVM-RF: A hybrid machine learning model for detection of malicious network traffic and files.- Key-insulated Aggregate Proxy Signature.- On Comprehensive Study of Cryptocurrency Trend Analysis Based on a Novel Machine Learning Technique.- Flaws of a password-based three-party authenticated key agreement protocol in post-quantum environment Multivariate Aggregate and Multi Signature Scheme.- Optical Network Modeling and Performance using Random Graph Theory.- A Survey on Recent Progress in Blockchain Technology.- Cryptanalysis of lattice based threshold changeable multi-secret sharing scheme.- Amazon Web Service IOT And Authentication of Edge Devices.- On Picture Fuzzy Information Based Hybrid Cryptographic TOPSIS Approach for Best Suitable Cloud Storage & Security Level.- Network Layer Performance of Hybrid Buffer Based Optical Router.- Efficient and secure data aggregation for UAV-to-Ground Station Communication in Smart City Environment.- BBIWMS: A Secure Blockchain Based Framework for Integrated Water Management System for Smart City.- An Intelligent Network Intrusion Detection Framework for Reliable UAV-based Communication
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Public Key Cryptography;Elliptic Curve Cryptography;Post Quantum Cryptography;Lattice Based Cryptography;Non Commutative Ring Based Cryptography;Cryptocurrency;Hash Functions;Security and Privacy in Machine Learning;Block Chain;IoT Security;Wireless Security Protocols;Quantum Computing;ICCNSML 2022 Proceedings