Intrusion Detection Using Deep Learning A Comprehensive Study in Cyber Security
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- Englisch ausgewählt
Fr. 83.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
14.11.2019
Verlag
LAP LAMBERT Academic PublishingSeitenzahl
156
Maße (L/B/H)
22/15/1 cm
Gewicht
250 g
Sprache
Englisch
ISBN
978-620-0-46816-1
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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