A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 10, Issue 8
Abstract
Network intrusion detection systems (NIDSs) have a role of identifying malicious activities by monitoring the behavior of networks. Due to the currently high volume of networks trafic in addition to the increased number of attacks and their dynamic properties, NIDSs have the challenge of improving their classification performance. Bio-Inspired Optimization Algorithms (BIOs) are used to automatically extract the the discrimination rules of normal or abnormal behavior to improve the classification accuracy and the detection ability of NIDS. A quantum vaccined immune clonal algorithm with the estimation of distribution algorithm (QVICA-with EDA) is proposed in this paper to build a new NIDS. The proposed algorithm is used as classification algorithm of the new NIDS where it is trained and tested using the KDD data set. Also, the new NIDS is compared with another detection system based on particle swarm optimization (PSO). Results shows the ability of the proposed algorithm of achieving high intrusions classification accuracy where the highest obtained accuracy is 94.8 %.
Authors and Affiliations
Omar S. Soliman , Aliaa Rassem
Keywords
Related Articles
- EP ID EP94243
- DOI -
- Views 136
- Downloads 0
Efficient Appraisal of Cloud Computing Through Comprehensive Confrontation of Security Issues and Discrepancies Involved
Cloud computing is a new computational paradigm that an innovative business model allows organizations to adopt without prior IT investments well. Despite the potential benefits derived from the cloud computing,...
Morphometric Analysis of Shaliganga Sub Catchment, Kashmir Valley, India Using Geographical Information System
The quantitative analysis of drainage system is an important aspect of characterization of watersheds. Using watershed as a basic unit in morphometric analysis is the most logical choice because all hydrologic and...
Effect of Various Parameters on the Wrinkling In Deep Drawing Cylindrical Cups
The appearance of dimensional deviations of shape and position, of the defects in the metal sheets that have been subjected to a cold plastic deformation process (deepdrawing), represents a critical problem fo...
Real Time Based Driver's Safeguard System by Analyzing Human Physiological Signals
In this paper a new approach based on bio-signal sensing was used for real time accident avoidance. A wireless embedded system with real time bio-signal processing techniquewas proposed. The bio-signals sensor modu...
An Empirical Model of Network Traffic Classification for Identifying Anonymous Behavior
Optimizing the internet traffic is always an important research issue in the field of network traffic classification, although various approaches available for minimizing the traffic over heads during the network traffic...