dc.contributor.authorHao, Jianan
dc.contributor.authorCai, Wentong
dc.date.accessioned2013-10-23T06:39:14Z
dc.date.available2013-10-23T06:39:14Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationHao, J., & Cai, W. (2012). Measuring Information Exposure Attacks on Interest Management. 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (PADS), 133-144.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16719
dc.description.abstractFor a scalable Massively Multiplayer Online Game (MMOG), interest management (IM) is an essential component to reduce unnecessary network traffic. As Area-Of-Interest (AOI) defines each player's interests, an entity normally maintains a subscriber list of players whose AOIs cover the position of the entity. To maintain the subscriber list, players are required to send AOI updates. Unfortunately, AOI update is vulnerable to information exposure (IE) attack especially on P2P infrastructure. Sensitive information, such as player's position, can be revealed during AOI update without owner's authorization and attention. This eventually results in an unfair game. In this paper, we demonstrate that such IE attack on MMOG can help cheaters gain unauthorized benefits. Notably, we present a Monte Carlo based simulator to quantitatively measure the impact of IE attack when different IM schemes are applied. Three P2P schemes are assessed and a Client/Server scheme is also employed for comparison. In addition, we also evaluate IE attack when a group of players collude with each other to share information. Experimental data obtained from simulation are analyzed and explained. Practical suggestions are also given for choosing an IM scheme for P2P gaming.en_US
dc.language.isoenen_US
dc.rights© 2012 IEEEen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleMeasuring information exposure attacks on interest managementen_US
dc.typeConference Paper
dc.contributor.conferenceWorkshop on Principles of Advanced and Distributed Simulation (26th : 2012 : Zhangjiajie, China)en_US
dc.contributor.researchParallel and Distributed Computing Centreen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/PADS.2012.24


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