Enhancing big data security with collaborative intrusion detection

Zhiyuan Tan, Upasana T. Nagar, Xiangjian He, Priyadarsi Nanda, Ren Ping Liu, Song Wang, Jiankun Hu

Research output: Contribution to Newspaper/Magazine/WebsiteArticle

46 Citations (Scopus)

Abstract

Big data, often stored in cloud networks, is changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. The security and privacy of this data, however, have always been a concern of the data owners. Securing cloud computing environments could strengthen data security and privacy. Doing so requires a comprehensive security solution, from attack prevention to attack detection. Intrusion detection systems (IDSs) are playing an increasingly important role in network security schemes. This article studies vulnerabilities in cloud computing and proposes a collaborative IDS framework to enhance the security and privacy of big data.

Original languageEnglish
Pages27-33
Number of pages7
Volume1
No.3
Specialist publicationIEEE Cloud Computing
DOIs
Publication statusPublished - 1 Sep 2014

Keywords

  • big data
  • cloud
  • collaborative intrusion detection
  • security and privacy

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    Tan, Z., Nagar, U. T., He, X., Nanda, P., Liu, R. P., Wang, S., & Hu, J. (2014). Enhancing big data security with collaborative intrusion detection. IEEE Cloud Computing, 1(3), 27-33. https://doi.org/10.1109/MCC.2014.53