Intrusion Detection Using Deep Learning: A Comprehensive Study in Cyber Security - Wisam Elmasry
-35% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Wisam Elmasry |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2019 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786200468161 |