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Title: Predicting multi-stage attacks based on hybrid approach
Authors: Almutairi, Abdulrazaq Z.
Flint, James A.
Parish, David J.
Keywords: Intrusion detection
Multi-stage attacks
IP check
Data mining
Fuzzy logic
Process query systems
Issue Date: 2015
Publisher: © Infonomics Society
Citation: ALMUTAIRI, A.Z., FLINT, J.A. and PARISH, D.J., 2015. Predicting multi-stage attacks based on hybrid approach. International Journal for Information Security Research, 5 (3), pp. 582 - 590
Abstract: Multi-stage attacks can evolve dramatically causing much loss and damage to organisations. These attacks are frequently instigated by exploiting actions, which in isolation are legal and are therefore particularly challenging to detect. Much research has been conducted in the multi-stage detection area, in order to build a framework based on an events correlation approach. This paper proposes a framework that predicts multi-stage attacks based on a hybrid approach, which combines two techniques; IP information evaluation and process query system (PQS). This paper shows the analysis of three multi stage attacks, detailing their steps and information hitherto unexploited in current intrusion detection systems. The paper also goes through the implementation of each technique used in the hybrid approach.
Description: This is the accepted version of a paper subsequently published in the International Journal for Information Security Research [© Infonomics Society]. The definitive version is available at: http://infonomics-society.org/wp-content/uploads/ijisr/published-papers/volume-5-2015/Predicting-Multi-Stage-Attacks-Based-on-Hybrid-Approach.pdf
Version: Accepted for publication
DOI: 10.20533/ijisr.2042.4639.2015.0067
URI: https://dspace.lboro.ac.uk/2134/20715
Publisher Link: http://infonomics-society.ie/ijisr/published-papers/volume-5-2015/
ISSN: 2042-4639
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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