Multiple Identity Attack Detection using Hybrid Approach
Author(s):
Rishi Kishan, Suraj Pal
Keywords:
Abstract
An Intrusion is a Multiple Identity Attack utilizing multiple distributed attack sources. Typically, the attackers use a large number of controlled bots distributed in different locations to launch a large number of Multiple Identity Attack. The rapid development of cloud technology in recent years, the attack traffic scale caused by Multiple Identity attacks has been increasing, with the targets including not only business servers, but also internet infrastructures such as firewalls, routers and DNS system as well as cloud bandwidth. The intrusion detection using special mining procedure of neural network is proposed through this literature. This paper describes an approach to handle Intrusion in cloud systems..In the proposed approach correlation between the values are located and the security attributes gives highest correlation and reliability is the next highest correlation values. Both of these attributes serve as root nodes. The comparison between these attributes and training data is made to determine the Intrusion. This means complication of calculations is reduced. Execution time is greatly reduced using this procedure. Results obtained are similar but execution time is reduced.
Article Details
Unique Paper ID: 150095

Publication Volume & Issue: Volume 7, Issue 2

Page(s): 359 - 363
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Volume 7 Issue 3

Last Date 25 August 2020

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