Abstract: Cloud computing and resource provisioning is solution to different problems presented through starvation and shortage of resources. To this end, Intrusion detection plays a critical role by providing resources to clients as per requirements of clients. This paper presents study of techniques of Intrusion detection and suggests future enhancements as well. Intrusion detection categories including network, storage, data, desktop and server are discussed in detail with results and further improvement to minimize energy consumption is suggested. Optimization in Intrusion detection is achieved considering load balancing degree. Service in terms of storage is frequent since client storage requirements are in demand due to least cost. In addition, platform related requirements are also satisfied frequently. In case of failure of resources VM migration procedures are in place. This paper also put light on issues of VM migration to optimize migration time.
Parameters Considered: Migration time, degree of load balancing, cost, energy consumed
Techniques: Data, Storage, Server, network and desktop Intrusion detection, Pre-Copy, Post Copy and Hybrid approach under LIVE VM migration
Keywords: Intrusion detection, Migration, Migration time, Cost, degree of load balancing
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