Enhancing Big Data Security with Collaborative Intrusion Detection

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

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.

Citation

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

• Journal Article Type: Article
• Online Publication Date: Feb 10, 2015
• Publication Date: 2014-09
• Deposit Date: Nov 15, 2016
• Journal: IEEE Cloud Computing
• Print ISSN: 2325-6095
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Issue: 3
• Pages: 27-33
• DOI: https://doi.org/10.1109/mcc.2014.53
• Keywords: security and privacy, big data, cloud, collaborative intrusion detection
• Public URL: http://researchrepository.napier.ac.uk/Output/424691