Best features based intrusion detection system by RBM model for detecting DDoS in cloud environment-Reference-Cited by-同舟云学术

Best features based intrusion detection system by RBM model for detecting DDoS in cloud environment

Published:2019-12-09 Issue:3 Volume:12 Page:3609-3619
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Mayuranathan M.,Murugan M.,Dhanakoti V.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-019-01611-9.pdf

Reference26 articles.

1. Aminanto E, Kim K (2016) Deep learning in intrusion detection system: an overview. In: International research conference on engineering and technology, pp 1–12

2. Bhushan K, Gupta BB (2019) Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment. J Ambient Intell Humaniz Comput 10(5):1985–1997

3. Bolón-Canedo V, Sánchez-Maroño N, Alonso-Betanzos A (2016) Feature selection for high-dimensional data. Prog Artif Intell 5(2):65–75

4. Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv (CSUR) 41(3):1–75

5. Chandrashekar G, Sahin F (2014) A survey on FS methods. Comput Electr Eng 40(1):16–28

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