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@article{150095,
        author = {Rishi Kishan and Suraj Pal},
        title = {Multiple Identity Attack Detection using Hybrid Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {2},
        pages = {359-363},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150095},
        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.},
        keywords = {},
        month = {},
        }