To Improve Security in Cloud Computing with Intrusion detection system using Neural Network
Richa Sondhiya1, Maneesh Shreevastav2, Mahendra Mishra3
1Richa Sondhiya, Department of Information Technology, L.N.C.T. Bhopal, India.
2Maneesh Shreevastav, Department of Information Technology, L.N.C.T. Bhopal,India.
3Mahendra Mishra, Department of Information Technology, L.N.C.T. Bhopal, India.
Manuscript received on April 08, 2013. | Revised Manuscript received on April 29, 2013. | Manuscript published on May 05, 2013. | PP: 401-404 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1533053213
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is a new type of service which provides large scale computing resource to each customer. Cloud Computing Systems can be easily threatened by various cyber-attacks, because most of Cloud computing system needs to contain some Intrusion Detection Systems (IDS) for protecting each Virtual Machine (VM) against threats. In this case, there exists a tradeoff between the security level of the IDS and the system performance. If the IDS provide stronger security service using more rules or patterns, then it needs much more computing resources in proportion to the strength of security. So the amount of resources allocating for customers decreases. Another problem in Cloud Computing is that, huge amount of logs makes system administrators hard to analyze them. In this paper, we propose a method that enables cloud computing system to achieve both effectiveness of using the system resource and strength of the security service without trade-off between them. In this paper, we propose a soft Computing technique such as MLP Algorithm for detecting the unknown intrusion in network intrusion detection in cloud computing environment.
Keywords: Cloud Computing, Neural Network, Intrusion detection system.