Enhancing Big Data Security with Collaborative Intrusion Detection

Publisher:
IEEE Computer Society
Publication Type:
Journal Article
Citation:
IEEE Cloud Computing Magazine, 2014, pp. 34 - 40 (8)
Issue Date:
2014-09-01
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As an asset of Cloud computing, big data is now changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. Its security and privacy, however, have always been a concern of the owners of the data. The security and privacy could be strengthened via securing Cloud computing environments. This requires a comprehensive security solution from attack prevention to attack detection. Intrusion Detection Systems (IDSs) are playing an increasingly important role within the realm of a set of network security schemes. In this article, we study the vulnerabilities in Cloud computing and propose a collaborative IDS framework to enhance the security and privacy of big data.
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