Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Game theoretic modeling of malicious users in collaborative networks

Theodorakopoulos, Georgios and Baras, John 2008. Game theoretic modeling of malicious users in collaborative networks. IEEE Journal on Selected Areas in Communications 26 (7) , pp. 1317-1327. 10.1109/JSAC.2008.080928

Full text not available from this repository.

Abstract

If a network is to operate successfully, its users need to collaborate. Collaboration takes the form of following a network protocol and involves some resource expenditure on the part of the user. Therefore, users cannot automatically be expected to follow the protocol if they are not forced to. The situation is exacerbated by the presence of malicious users whose objective is to damage the network and increase the cost incurred by the legitimate users. The legitimate users are, at least initially, unaware of the type (legitimate or malicious) of the other users. Our contribution is a model for the strategic interaction of legitimate and malicious users as described above. The model is based on repeated graphical games with incomplete information. We describe and analyze two specific instantiations, aiming to demonstrate the modeliquests expressive power and tractability. The main benefit we see from using game theory for this essentially security problem is the ability to bound the damage caused by the malicious users.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: collaborative networks, incomplete information, repeated games, security
Publisher: IEEE
ISSN: 0733-8716
Last Modified: 04 Jun 2017 04:25
URI: http://orca.cf.ac.uk/id/eprint/38708

Citation Data

Cited 53 times in Google Scholar. View in Google Scholar

Cited 47 times in Scopus. View in Scopus. Powered By Scopus® Data

Cited 20 times in Web of Science. View in Web of Science.

Actions (repository staff only)

Edit Item Edit Item