Hybrid Intrusion Detection Algorithm for Private Cloud

Detection and Prevention of Intrusion in the cloud environment is a tedious process. The main objective of this research work is to propose a Hybrid Intrusion Detection algorithm for private cloud environment which is efficient interms of security and performance. A detailed study has been carried out on the existing Intrusion detection systems, which gives a clear view that existing system cannot detect intrusion effectively. Artificial Intelligence has been incorporated in the research work to detect any type of intrusion in private cloud environment. Incorporating Artificial Intelligence technique resulted in self adapative Intrusion Detection System, which has been tested using the real time data collected using the network speed. Implementation of the research work gives a clear view about the efficiency of the algorithm in terms of security and performance, which has not been considered in the earlier research work. Detailed statistical analysis has been carried out as a part of the research work to prove the correctness of the proposed algorithm. The result of the implementation and analaysis gives a clear scope for further research work on Intrusion Detection System for cloud based environment. The proposed algorithm can be implemented for highly secured private cloud which are built for Military purpose and Banking sector to monitor the activities of the network efficiently.