Abstract
Cloud computing is a new hype and a buzz word in today’s business computing world due to its pay-as-you-use model. Organizations are at the edge of a computing revolution which can change the way traditional enterprise IT is run currently. Even with all its benefits, medium to large businesses fear migrating to this computing paradigm because of the security nightmares associated with it. Organizations fear loss of control over their own data and are apprehensive about the cloud vendors’ security measures for the same. This paper describes the design roadmap for the architecture of eCloudIDS, a next-generation security system with innovative hybrid two-tier expert engines, namely uX-Engine (tier-1) and sX-Engine (tier-2), approach for cloud computing environment. eCloudIDS architecture uses both supervised and unsupervised machine learning techniques from artificial intelligence cradle which can ease some of the contemporary urgent security threats present in today’s cloud computing environment.
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Srinivasan, M.K., Sarukesi, K., Keshava, A., Revathy, P. (2012). eCloudIDS – Design Roadmap for the Architecture of Next-Generation Hybrid Two-Tier Expert Engine-Based IDS for Cloud Computing Environment. In: Thampi, S.M., Zomaya, A.Y., Strufe, T., Alcaraz Calero, J.M., Thomas, T. (eds) Recent Trends in Computer Networks and Distributed Systems Security. SNDS 2012. Communications in Computer and Information Science, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34135-9_36
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DOI: https://doi.org/10.1007/978-3-642-34135-9_36
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