Security Analytics: Big Data Analytics for Cybersecurity

被引:0
|
作者
Mahmood, Tariq [1 ]
Afzal, Uzma [2 ]
机构
[1] Coll Comp & Informat Sci, Karachi Inst Econ & Technol, Karachi, Pakistan
[2] Fed Urdu Univ Arts Sci & Technol, Dept Comp Sci, Karachi, Pakistan
关键词
cybersecurity; big data analytics; security analytics; survey; real-time; suspicion; fraud; outliers; network streams;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid growth of the Internet has brought with it an exponential increase in the type and frequency of cyber attacks. Many well-known cybersecurity solutions are in place to counteract these attacks. However, the generation of Big Data over computer networks is rapidly rendering these traditional solutions obsolete. To cater for this problem, corporate research is now focusing on Security Analytics, i.e., the application of Big Data Analytics techniques to cybersecurity. Analytics can assist network managers particularly in the monitoring and surveillance of real-time network streams and real-time detection of both malicious and suspicious (outlying) patterns. Such a behavior is envisioned to encompass and enhance all traditional security techniques. This paper presents a comprehensive survey on the state of the art of Security Analytics, i.e., its description, technology, trends, and tools. It hence aims to convince the reader of the imminent application of analytics as an unparalleled cybersecurity solution in the near future.
引用
收藏
页码:129 / 134
页数:6
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