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Big data in cybersecurity: a survey of applications and future trends

• Original Article
• Published: 06 January 2021
• Volume 7 , pages 85–114, ( 2021 )

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• Mohammed M. Alani   ORCID: orcid.org/0000-0002-4324-1774 1  

2194 Accesses

18 Citations

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With over 4.57 billion people using the Internet in 2020, the amount of data being generated has exceeded 2.5 quintillion bytes per day. This rapid increase in the generation of data has pushed the applications of big data to new heights; one of which is cybersecurity. The paper aims to introduce a thorough survey on the use of big data analytics in building, improving, or defying cybersecurity systems. This paper surveys state-of-the-art research in different areas of applications of big data in cybersecurity. The paper categorizes applications into areas of intrusion and anomaly detection, spamming and spoofing detection, malware and ransomware detection, code security, cloud security, along with another category surveying other directions of research in big data and cybersecurity. The paper concludes with pointing to possible future directions in research on big data applications in cybersecurity.

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Alani, M.M. Big data in cybersecurity: a survey of applications and future trends. J Reliable Intell Environ 7 , 85–114 (2021). https://doi.org/10.1007/s40860-020-00120-3

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Received : 13 May 2020

Accepted : 05 November 2020

Published : 06 January 2021

Issue Date : June 2021

DOI : https://doi.org/10.1007/s40860-020-00120-3

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