Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20723

Title: Predicting multi-stage attacks based on IP information
Authors: Almutairi, Abdulrazaq Z.
Flint, James A.
Parish, David J.
Issue Date: 2015
Publisher: © IEEE
Citation: ALMUTAIRI, A.Z., FLINT, J.A. and PARISH, D.J., 2015. Predicting multi-stage attacks based on IP information. IN: Proceedings of the 10th International Conference for Internet Technology and Secured Transactions (ICITST-2015), 14th-16th December 2015, London, pp. 384-390.
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 different approach, which is an IP information evaluation. This approach was chosen after analysing three different multi-stage attack scenarios. This paper shows the analysis of those scenarios, detailing their steps and information hitherto unexploited in current intrusion detection systems. The paper also details the results obtained in the evaluation process, including detection and false positive rates.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/ICITST.2015.7412127
URI: https://dspace.lboro.ac.uk/2134/20723
Publisher Link: http://dx.doi.org/10.1109/ICITST.2015.7412127
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
Abdulrazaq_Almutairi_ICITST2015_OK .pdfAccepted version388.56 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.