A Study of Intrusion Detection System using Advanced Genetic Algorithm
Journal Title: International Research Journal of Computer Science - Year 2016, Vol 0, Issue 0
Abstract
As of today, we are relying more and more on Internet or network computer access, a growing problem intrusion into computer systems by unauthorized users has been observed. An intrusion is unauthorized access or attempted access into or unauthorized activity in a computer or information system. Intrusion detection technologies are therefore becoming extremely important to improve the overall security of computer systems. Intrusion detection is the process of identifying that an intrusion has been attempted, is occurring or has occurred. In this paper, we are focusing on Intrusion Detection System based on genetic algorithm (GA).
Authors and Affiliations
Aman V. Mankar, Tushar C. Ravekar
Keywords
Related Articles
- EP ID EP183110
- DOI -
- Views 137
- Downloads 0
A Study of Elastic Transactional Data Storage in the Cloud Computing
Over the last couple of years, “Cloud computing” or “Elastic computing” has emerged as a compelling and successful paradigm for internet scale computing. One of the major contributing factors to this success is the elast...
A Survey and a Comparative Study on Software-Defined Networking
Software-Defined Networking (SDN) is a new networking paradigm in network technologies in which the data plane and network plane are separated. This new technology began to be widely used in last few years and studies st...
Application of Management Information System in Marketing University Degree Programmes - A case study of Kenyan Universities
There is an increase in demand for university education in Kenya. This is as result of many Kenyans being more informed on the importance of having higher education qualifications. As the demand grows, Universities have...
Enterprise Architecture Development of Mercu Buana University Based on TOGAF: An Introduction
This paper proposed TOGAF to develop enterprice architecture of Mercu Buana University due to sharp increasing in number of students. This development must keep in line the bussines goal and information system used in Un...
Comparison of Texture’s Features of SAR Images Based on Grey Level Co-occurrence Matrix : Case on Multi Polarization P Band and L Band
Texture of SAR Image could be extracted by using Grey Level Co-occurence Matrix method. This research was an extended research on texture’s feature which had aim to calibrate the sea wave height. The research object was...