We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
PREVENTION OF ZERO DAY VULNERABILITY IN NETWORK USING ENSEMBLE FUZZY ASSOCIATION AND CUTTLE FISH DETECTION.
- Authors
Masthan, M.; Ravi, R.
- Abstract
The data communication between different parts of the universe is managed by the computer networks and the Enterprise Information System (EIS) which rely on them. The privacy and security are the most important factor to be maintained in any network systems. This paper deals about the detection of intrusion attack in the eclipse database using Ensemble fuzzy association (EFA) and Cuttle Fish Algorithm (CFA). The proposed methodology creates a rule-based ensemble model for network diversity metric modeling for the efficient detection of zeroday attacks and to reduce the time consumption. The simulation result shows that the EFA and CFA having efficient detection rates as compared to the existing systems.
- Subjects
INFORMATION storage &; retrieval systems; FUZZY algorithms; INTRUSION detection systems (Computer security)
- Publication
ICTACT Journal on Communication Technology, 2017, Vol 8, Issue 2, p1518
- ISSN
0976-0091
- Publication type
Article
- DOI
10.21917/ijct.2017.0224