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Titlebook: Applications and Techniques in Information Security; 14th International C V.S. Shankar Sriram,Anila Glory H.,Shiva Raj Pokhr Conference pro

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An Unsupervised Method for Intrusion Detection Using Novel Percentage Split Clusteringf the proposed method is evaluated with the KDD cup 1999 dataset, and the results show that the application of PSC is promising in terms of silhouette measure, accuracy, detection rate, and false positive rates.
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Detection and Mitigation of Email Phishinge to this threat, the paper proposes a comprehensive framework for mitigating phishing attacks on email. This includes email filtering and multi-factor authentication wherein the user’s credentials are safeguarded using a custom lightweight hash function. The security of the proposed hash function has also been analysed.
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: Antigen Analysis and Immune Responseserns and traditional management issues. Addressing these challenges will enhance network agility, efficiency, and security, enabling innovative applications such as dynamic service provisioning, proactive security defenses, high-bandwidth applications, and secure IoT ecosystems, ultimately transforming network management and utilization.
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https://doi.org/10.1007/978-1-62703-339-8 to solve real world problems. The optical neural network provides an improvement in learning rate and inference reliability improves by 34% and 33% respectively, compared to a conventional neural network.
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