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
Full metadata record
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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