International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 495 - 506

An Efficient Fuzzy Self-Classifying Clustering based Framework for Cloud Security

Authors
Sivakami Raja1*, rsivakami@psnacet.edu.in, Jaiganesh M1, jaidevlingam@gmail.com, Saravanan Ramaiah2, directorrvsetgi@revsgroup.com
1Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India
2Department of Computer Science and Engineering, RVS Educational Trusts Group of Institutions, Dindigul, Tamilnadu, India
Received 29 August 2016, Accepted 1 December 2016, Available Online 1 January 2017.
DOI
10.2991/ijcis.2017.10.1.34How to use a DOI?
Keywords
Fuzzy neural networks; Intrusion detection; Hybrid intelligent systems; Partitioning algorithms; Pattern analysis
Abstract

Though cloud computing has become an attractive technology due to its openness and services, it brings several security hazards towards cloud storage. Since the distributed nature of clouds is achieved through internetworking technologies, clouds suffer from all the vulnerabilities by which networking also suffers. In essence, data stored in clouds are vulnerable to attacks from intruders. But, no single technique can provide efficient intrusion detection. In this paper, we propose fuzzy self-classifying clustering based cloud intrusion detection system which is intelligent to gain knowledge of fuzzy sets and fuzzy rules from data to detect intrusions in a cloud environment. Its efficiency is explained by comparing with other three cloud intrusion detection systems. Using a standard benchmark data from a CIDD (Cloud Intrusion Detection Dataset), experiments are conducted and tested. The results are presented in terms of success rate accuracy.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
495 - 506
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.34How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Sivakami Raja
AU  - Jaiganesh M
AU  - Saravanan Ramaiah
PY  - 2017
DA  - 2017/01/01
TI  - An Efficient Fuzzy Self-Classifying Clustering based Framework for Cloud Security
JO  - International Journal of Computational Intelligence Systems
SP  - 495
EP  - 506
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.34
DO  - 10.2991/ijcis.2017.10.1.34
ID  - Raja2017
ER  -