Call for Paper - July 2019 Edition
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Application of Network Forensics for Detection of Web Attack using Neural Network

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IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013
© 2013 by IJCA Journal
NCIPET2013 - Number 2
Year of Publication: 2013
Authors:
Sudhakar Parate
S. M. Nirkhi
R. V. Dharaskar

Sudhakar Parate, S M Nirkhi and R V Dharaskar. Article: Application of Network Forensics for Detection of Web Attack using Neural Network. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013 NCIPET 2013(2):28-31, December 2013. Full text available. BibTeX

@article{key:article,
	author = {Sudhakar Parate and S. M. Nirkhi and R. V. Dharaskar},
	title = {Article: Application of Network Forensics for Detection of Web Attack using Neural Network},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering & Technology 2013},
	year = {2013},
	volume = {NCIPET 2013},
	number = {2},
	pages = {28-31},
	month = {December},
	note = {Full text available}
}

Abstract

Neural network help to determine the network attack such as Denial of Service (DoS), User to Root (U2R), Root to Local (R2L) and Probing. These propose technique based on network forensics and forensics work on the basis of post event. In propose application the post event are log files for that kddcup 99 is used as a standard dataset. This dataset is used as a input to the neural network for detecting the network based attack. In this paper Backpropagation algorithm is used for training the feed forward neural network and also help to identify the evidences of data source as intermediate side and end side. This paper provide the information about how to training and testing is perform in the the neural network and error calculation.

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