Anomaly based Intrusion Detection using Modified Fuzzy Clustering
Journal Title: International Journal of Interactive Multimedia and Artificial Intelligence - Year 2017, Vol 4, Issue 6
Abstract
This paper presents a network anomaly detection method based on fuzzy clustering. Computer security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. As a result, Intrusion Detection System has become an indispensable component of computer security. The proposed method consists of three steps: Pre-Processing, Feature Selection and Clustering. In pre-processing step, the duplicate samples are eliminated from the sample set. Next, principal component analysis is adopted to select the most discriminative features. In clustering step, the network samples are clustered using Robust Spatial Kernel Fuzzy C-Means (RSKFCM) algorithm. RSKFCM is a variant of traditional Fuzzy C-Means which considers the neighbourhood membership information and uses kernel distance metric. To evaluate the proposed method, we conducted experiments on standard dataset and compared the results with state-of-the-art methods. We used cluster validity indices, accuracy and false positive rate as performance metrics. Experimental results inferred that, the proposed method achieves better results compared to other methods.
Authors and Affiliations
B. S. Harish, S. V. Aruna Kumar
Keywords
Related Articles
- EP ID EP329911
- DOI 10.9781/ijimai.2017.05.002
- Views 157
- Downloads 0
Comparison of Feedforward Network and Radial Basis Function to Detect Leukemia
Leukemia is a fast growing cancer also called as blood cancer. It normally originates near bone marrow. The need for automatic leukemia detection system rises ever since the existing working methods include labor-intensi...
A System to Generate SignWriting for Video Tracks Enhancing Accessibility of Deaf People
Video content has increased much on the Internet during last years. In spite of the efforts of different organizations and governments to increase the accessibility of websites, most multimedia content on the Internet is...
Workforce Optimization for Bank Operation Centers: A Machine Learning Approach
Online Banking Systems evolved and improved in recent years with the use of mobile and online technologies, performing money transfer transactions on these channels can be done without delay and human interaction, howeve...
Analysis of Security Mechanisms Based on Clusters IoT Environments
Internet of things is based on sensors, communication networks and intelligence that manages the entire process and the generated data. Sensors are the senses of systems, because of this, they can be used in large quanti...
Modified Three-Step Search Block Matching Motion Estimation and Weighted Finite Automata based Fractal Video Compression
The major challenge with fractal image/video coding technique is that, it requires more encoding time. Therefore, how to reduce the encoding time is the research component remains in the fractal coding. Block matching mo...