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Link to original content: https://doi.org/10.1007/978-3-319-03584-0_14
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Alert Correlation Algorithms: A Survey and Taxonomy

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Cyberspace Safety and Security (CSS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8300))

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Abstract

Alert correlation is a system which receives alerts from heterogeneous Intrusion Detection Systems and reduces false alerts, detects high level patterns of attacks, increases the meaning of occurred incidents, predicts the future states of attacks, and detects root cause of attacks. To reach these goals, many algorithms have been introduced in the world with many advantages and disadvantages. In this paper, we are trying to present a comprehensive survey on already proposed alert correlation algorithms. The approach of this survey is mainly focused on algorithms in correlation engines which can work in enterprise and practical networks. Having this aim in mind, many features related to accuracy, functionality, and computation power are introduced and all algorithm categories are assessed with these features. The result of this survey shows that each category of algorithms has its own strengths and an ideal correlation frameworks should be carried the strength feature of each category.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Sharif University of Technology, International Campus, Iran

    Seyed Ali Mirheidari

  2. Data and Network Security Laboratory (DNSL), Sharif University of Technology, Iran

    Seyed Ali Mirheidari, Sajjad Arshad & Rasool Jalili

  3. Computer Engineering Department, Sharif University of Technology, Iran

    Rasool Jalili

Authors
  1. Seyed Ali Mirheidari
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  2. Sajjad Arshad
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  3. Rasool Jalili
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Editor information

Editors and Affiliations

  1. School of Information Science and Engineering, Central South University, 410083, Changsha, Hunan, P.R. China

    Guojun Wang

  2. Computer Science Department, Colorado State University, 1873 Campus Delivery, 80523-1873, Fort Collins, CO, USA

    Indrakshi Ray

  3. Chinese Academy of Sciences, Institute of Software, 100190, Beijing, P.R. China

    Dengguo Feng

  4. information Security Group, City University London, EC1V 0HB, London, UK

    Muttukrishnan Rajarajan

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© 2013 Springer International Publishing Switzerland

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Mirheidari, S.A., Arshad, S., Jalili, R. (2013). Alert Correlation Algorithms: A Survey and Taxonomy. In: Wang, G., Ray, I., Feng, D., Rajarajan, M. (eds) Cyberspace Safety and Security. CSS 2013. Lecture Notes in Computer Science, vol 8300. Springer, Cham. https://doi.org/10.1007/978-3-319-03584-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-03584-0_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03583-3

  • Online ISBN: 978-3-319-03584-0

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