(3.228.220.31)
Users online: 1734    [ij] [ij] [ij] 
Email id
 

International Journal of Technology
Year : 2017, Volume : 7, Issue : 1
First page : ( 20) Last page : ( 24)
Print ISSN : 2231-3907. Online ISSN : 2231-3915.
Article DOI : 10.5958/2231-3915.2017.00005.0

Intrusion Detection System based on Artificial Intelligence

Anitha A1,*, Revathi SV2,**, Jeevanantham S2,***, Godwin E Eliza2,****

1Associate Professor, School of Information Technology and Engineering VIT University, Vellore, India

2M S (Software Engineering), VIT University, Vellore, India

*Corresponding Author E-mail: aanitha@vit.ac.in,

**revathi.sv2013@vit.ac.in

***jeevanantham.s2013@vit.ac.in

***elizagodwin.e2013@vit.ac.in

Online published on 5 April, 2018.

Abstract

The Internet plays a major role in today's environment but many attacks are happening over the networks and it may cause serious issues. Intrusion detection system provides a way to prevent the network anomalies and threats. It plays a vital role in network security. The violation activity happenings over the networks can be prevented by intrusion detection system, it collects the detected activity using security information and event management (SIEM). Some IDS have the ability to respond to the detected intrusions. Systems with response capabilities are typically referred to as an intrusion prevention system. There are many techniques which are used to design IDSs for specific scenario and applications. Artificial intelligence techniques are mostly used for threats detection.

Top

Keywords

Intrusion detection, neural networks, knowledge base.

Top

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
436,583,076 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.