• DocumentCode
    678221
  • 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
  • fYear
    2013
  • fDate
    11-12 Dec. 2013
  • Firstpage
    129
  • Lastpage
    134
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance (NCIA), 2013 2nd National Conference on
  • Conference_Location
    Rawalpindi
  • Print_ISBN
    978-1-4799-1287-2
  • Type

    conf

  • DOI
    10.1109/NCIA.2013.6725337
  • Filename
    6725337