Hybrid Machine Learning and Meta-Heuristic Algorithms for DDOS Attack: Theory and Case Study
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Numerous cyber-security measures have been carried out to protect the server from attackers or hackers. The traditional cyber-security methods failed to protect the server against several external unauthorized traffic.
It is important to develop an Intrusion Detection System (IDS) in loT architecture. This book aims to provide detailed literature reviews carried out to investigate various machine learning techniques, neural network models, and optimization algorithms aimed to identify the gap problems and then develop machine learning algorithms to detect the intrusion accurately and effectively.
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£27.18
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£10.58
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