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 language | English |
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Pages | 27-33 |
Number of pages | 7 |
Volume | 1 |
No. | 3 |
Specialist publication | IEEE Cloud Computing |
DOIs | |
Publication status | Published - 1 Sept 2014 |
Externally published | Yes |
Keywords
- big data
- cloud
- collaborative intrusion detection
- security and privacy
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Software
- Computer Science Applications
- Computer Networks and Communications