Reduction of Rejection Instances Using Particle Swarm Optimization in Ids
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
An intrusion detection system (IDS) is a tool or software function which examines a network or systems for malevolent action or policy infringements. An IDS mechanism by observing system action by probing vulnerabilities in the system, the sum of files and conducting an study of patterns based on already known attacks. It also directly monitors the Internet to explore for most recent threats which could result in a future attack. This paper introduces optimization techniques with advantages and algorithm. We proposed new technique to decrease the rejected instances of the dataset. This performed simulation in MATLAB on the given dataset then compute the various parameters like rejected instances, true positive rate(TPR), false positive rate(FPR) and false negative rate(FNR). The graph confirmed that the proposed work is healthier than the existing work by reducing rejection rate.
Authors and Affiliations
Shilpi Goyal, Sushil Chaturvedi
Keywords
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