Intrusion Detection using ABC optimized Neural Network

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 9

Published

April 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Vaishali Anwekar Khushboo Pawar

The primary aim of intrusion detection is to detect attacks against a computer system. It is an important technology in business sector as well as an active area of research. In Information Security, intrusion detection is the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of a resource. It plays a very important role in attack detection, security check and network inspection. This paper presents the performance of Neural Network for various values of number of clusters, based on experiments. The optimization of output is done using Artificial Bee Colony (ABC) algorithm by selecting initial through ABC.

Vaishali Anwekar, Khushboo Pawar (2016). Intrusion Detection using ABC optimized Neural Network. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 9. ISSN: 2319-4863.

Copy Citation

Full references are available in the PDF version of this paper.

Download Full Paper (PDF) →

Downloads

Full Text Access

Full Paper

PDF Download

Abstract PDF

PDF Download

Article Info

LinkedIn Twitter / X WhatsApp