Big Data Analytics for Information Security | Zendy

Krzysztof Szczypiorski | Zendy; Liqiang Wang | Zendy; Xiangyang Luo | Zendy; Dengpan Ye | Zendy

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Big Data Analytics for Information Security

Author(s) -

Krzysztof Szczypiorski,

Liqiang Wang,

Xiangyang Luo,

Dengpan Ye

Publication year - 2018

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2018/7657891

Subject(s) - computer science , big data , data science , analytics , information security , business intelligence , data analysis , computer security , data mining

Big Data Analytics (BDA) is one of themainstream technologies that change our perspectives on processing of information. Together with information security, BDA could be an extremely effective tool to learn more about communication and social networks.There will be infinite possibilities to find new methods of tracking cybercrimes using big data from different sources. BDA in information security also changes our thinking about security algorithms; they must change from a small data paradigm to big ones. This special issue is to analyze how the latest trends in this area help learn more about cyberspace and new threats using big data approaches. It contains seven papers and the details were listed as follows:

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