Analyzing Knowledge Based Feature Selection to Detect Remote to Local Attacks
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 5
Abstract
Intrusion Detection (ID) is the most significant component in Network Security System as it is responsible to detect several types of attacks. The IDS commonly deals with a large amount of data traffic, which involves irrelevant and redundant features. The feature selection is one of the prominent factors that influence the quality of IDS. We observe that performing feature selection improves the attack detection accuracy as well as the efficiency of the system. In our experiments, we performed manual feature selection, using our domain knowledge with analyzing the nature of the attack. We compare the results of manual feature selection, automatic feature selection and without feature selection for R2L attack. Feature selection finding a subset of features to improve classification accuracy. These features can be used to uniquely identify a specific attack from all the connections. Experimental result on the KDD cup 99 benchmark network intrusion detection dataset demonstrates that the proposed approach achieved high attack detection accuracy. Random Forest is applied on reduced feature set and classification. It is highly accurate classifier. Our proposed work as good as others and time saving for the classification accuracy for R2L attacks
Authors and Affiliations
Mya Thidar Myo Win , Kyaw Thet Khaing
Keywords
Related Articles
- EP ID EP162005
- DOI -
- Views 69
- Downloads 0
Use of Open Source Software in Engineering
The term Open Source Software (OSS) is widely described with the software that is available with its source code and a licensed to redevelop and redistributes it. Todays open source softwares are widely used for ev...
Multispectral Palm Image Fusion: A Critical Review
Hand biometrics, including fingerprint, palmprint, hand geometry and hand vein pattern, have obtained extensive attention in recent years. Physiologically, skin is a complex multi-layered tissue consisting of vario...
Enhancing Key Management In Intrusion Detection System For Manets
Manets are the ad hoc networks that are build on demand or instantly when some mobile nodes come in the mobility range of each other and decide to cooperate for data transfer and communication. Therefore there is n...
SALT & PEPPER NOISE REMOVAL USING FUZZY BASED ADAPTIVE FILTER
This paper is based on a novel of filter which includes detection and removal of salt & pepper noise using fuzzy based adaptive filter. Once the detection stage detects the noisy pixels, they are passed on to t...
Design & Analysis Of An Inverted-T Shaped Antenna With DGS For Wireless Communication
A new and unique methodology for designing a compact micro strip patch antenna for lower microwave frequencies is proposed. A very Compact inverted-T shaped micro strip patch antenna with DGS (Defected Ground Structu...