A human-centred model for network flow analysis
Merien, Thibaud and Brosset, David and Bellekens, Xavier and Claramunt, Christophe; (2019) A human-centred model for network flow analysis. In: 2018 2nd Cyber Security in Networking Conference (CSNet). IEEE, FRA. ISBN 9781538670453 (https://doi.org/10.1109/CSNET.2018.8602913)
Preview |
Text.
Filename: Merien_etal_CSNC_2018_A_human_centred_model_for_network_flow_analysis.pdf
Accepted Author Manuscript Download (263kB)| Preview |
Abstract
Computer networks are ubiquitous and growing exponentially, with a predicted 50 billion devices connected by 2050. This tremendous growth dramatically increases the attack surface of both private and public networks. These attacks often influence the behaviour of the system, leading to the detection of the attack. In this manuscript we model the path of an attack through the network by graphs. The model developed aims to better integer attackers intentions. Using the data produced by 5 honeypots, we apply our model. The preliminary results show that the approach is useful to rapidly detect anomalies in the experiment dataset.
ORCID iDs
Merien, Thibaud, Brosset, David, Bellekens, Xavier ORCID: https://orcid.org/0000-0003-1849-5788 and Claramunt, Christophe;-
-
Item type: Book Section ID code: 70781 Dates: DateEvent7 January 2019Published2 July 2018AcceptedNotes: © 2019 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. Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 11 Dec 2019 10:59 Last modified: 11 Nov 2024 15:19 URI: https://strathprints.strath.ac.uk/id/eprint/70781