Intrusion Detection Using Deep Learning: A Comprehensive Study in Cyber Security - Softcover

Elmasry, Wisam

 
9786200468161: Intrusion Detection Using Deep Learning: A Comprehensive Study in Cyber Security

Inhaltsangabe

Intrusion detection is deemed to be a cornerstone of cyber security. Early and effective intrusion detection has been attracted much attention from researchers in the last decade. However, the existence of a deep and adequate study in using deep learning models for intrusion detection in cyber security is still seldom. In this study, I have investigated the problem of intrusion detection in three different environments, namely, personal computer, network and cloud computing. Furthermore, a double Particle Swarm Optimization-based algorithm is proposed for both feature and hyperparameter selection. Finally, a novel deep learning approach is presented to improve the performance of intrusion detection in cyber security area.

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Über die Autorin bzw. den Autor

Wisam Elmasry received his B.Sc. and M.Sc. degrees in Computer Engineering from The Islamic University of Gaza (IUG), Palestine in 2004 and 2010, respectively. In 2019, he completed his doctorate in Computer Engineering at Istanbul Commerce University in Turkey. His areas of research interest include Cryptography, Cyber Security and Deep Learning.

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