Intrusion Detection Systems By Anamoly-Based Using Neural Network
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
To improve network security different steps has been taken as size and importance of the network has increases day by day. Then chances of a network attacks increases Network is mainly attacked by some intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network intrusion detection system need to be efficient enough that chance of false alarm generation should be less, which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various services like Dos, SSH, etc by neural network
Authors and Affiliations
Shahul Kshirsagar PG
Keywords
Related Articles
- EP ID EP88159
- DOI -
- Views 131
- Downloads 0
The Impact of Security Overhead Traffic on Network’s ResourcesPerformance
Abstract: Security of transferred data is a big concern for data networks users .One of the best securitysolutions is the IPSec Virtual Private Networking (IPSec VPN).In this paper, The Impact of additional traffic...
A web-based decision support system for lower back pain diagnosis
Abstract: In the era of science and technology, computer is the most spirited constituent in our today’s health care sector with variety of facilities. The use of Artificial Intelligent (AI), Knowledge Management, is the...
Clustering Algorithm Based On Correlation Preserving Indexing
Fast retrieval of the relevant information from the databases has always been a significant issue. Different techniques have been developed for this purpose; one of them is Data Clustering. In this paper Data &nb...
Recognition of Human Iris Using Accurate Iris Map
Personal identification based on Biometrics technology is a trend in future. Iris Recognition is regarded as a high accuracy verification technology when compared to traditional approaches. In real-time Iris Rec...
A Non Conventional Energy Based Mobile Charger towards Green Computing
Conventional energy are tapped and used abundantly at present. Keeping in observance a way of precaution is taken to upturn the use of non-conventional energy. Decreasing the use of conventional energy, a two way (or twi...