Title :
Security Analytics: Big Data Analytics for cybersecurity: A review of trends, techniques and tools
Author :
Mahmood, T. ; Afzal, Usman
Author_Institution :
Coll. of Comput. & Inf. Sci., Karachi Inst. of Econ. & Technol., Karachi, Pakistan
Abstract :
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.
Keywords :
Big Data; Internet; computer network security; Internet; big data analytics; computer network; cyber attack; cybersecurity; malicious pattern; real-time detection; real-time network stream; security analytics; suspicious pattern; Computer security; Data handling; Data storage systems; Information management; Monitoring; Real-time systems; big data analytics; cybersecurity; fraud; network streams; outliers; real-time; security analytics; survey; suspicion;
Conference_Titel :
Information Assurance (NCIA), 2013 2nd National Conference on
Conference_Location :
Rawalpindi
Print_ISBN :
978-1-4799-1287-2
DOI :
10.1109/NCIA.2013.6725337