Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness-Reference-Cited by-同舟云学术

Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness

Published:2017-03 Issue: Volume:52 Page:359-375
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Shalaginov Andrii^ORCID,Franke Katrin^ORCID

Funder

COINS Research School of Computer and Information Security

Publisher

Elsevier BV

Subject

Software

Reference66 articles.

1. Network forensics with neurofuzzy techniques;Anaya,2009

2. Network forensics readiness and security awareness framework;Al-Mahrouqi,2014

3. I.R. Adeyemi, S.A. Razak, N.A.N. Azhan, Identifying Critical Features for Network Forensics Investigation Perspectives, arXiv preprint arXiv:1210.1645.

4. Review of soft computing in malware detection;Singh;Spec. Issues IP Multimed. Commun.,2011

5. Network intrusion detection system using fuzzy logic;Shanmugavadivu;Indian J. Comput. Sci. Eng. (IJCSE),2011

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