I know you are watching me

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dc.contributor.author Abdel Wahab, Omar
dc.contributor.author Bentahar, Jamal
dc.contributor.author Otrok, Hadi
dc.contributor.author Mourad, Azzam
dc.date.accessioned 2018-08-14T10:31:24Z
dc.date.available 2018-08-14T10:31:24Z
dc.date.copyright 2017 en_US
dc.date.issued 2018-08-14
dc.identifier.isbn 9781538607527 en_US
dc.identifier.uri http://hdl.handle.net/10725/8322
dc.description.abstract Insider attacks in which misbehaving Virtual Machines (VMs) take part of the cloud system and learn about its internal vulnerabilities constitute a major threat against cloud resources and infrastructure. This demands setting up continuous and comprehensive security arrangements to restrict the effects of such attacks. However, limited security resources prohibit full detection coverage on all VMs at all times, which can be exploited by attackers to examine the selective detection strategies and adjust their own attack plans accordingly. Motivated by the absence of any approach that accounts for such a challenge in the domain of cloud computing, we propose in this work an adaptive detection strategy that formulates a Stackelberg security game to enable the cloud system to optimally exploit its available amount of security resources to maximize the detection of distributed attacks, knowing that attackers have the ability to monitor the cloud system's strategies and adjust their own attack plans. Experiments carried out on the CloudSim framework reveal that the proposed solution maximizes the detection of distributed attacks and minimizes false negatives and positives compared to a maximin-based detection strategy, while being scalable to the increase in both the number of co-hosted VMs and percentage of co-resident attackers. en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.title I know you are watching me en_US
dc.type Conference Paper / Proceeding en_US
dc.title.subtitle Stackelberg-based adaptive intrusion detection strategy for insider attacks in the cloud en_US
dc.author.school SAS en_US
dc.author.idnumber 200904853 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Load distribution en_US
dc.keywords Intrusion detection en_US
dc.keywords Stackelberg game theory en_US
dc.keywords Limited resources en_US
dc.keywords Virtualized cloud en_US
dc.keywords Security en_US
dc.identifier.doi http://dx.doi.org/10.1109/ICWS.2017.88 en_US
dc.identifier.ctation Wahab, O. A., Bentahar, J., Otrok, H., & Mourad, A. (2017, June). I know you are watching me: Stackelberg-based adaptive intrusion detection strategy for insider attacks in the cloud. In 2017 IEEE International Conference on Web Services (ICWS) (pp. 728-735). IEEE. en_US
dc.author.email azzam.mourad@lau.edu.lb en_US
dc.conference.date 25-30 June 2017 en_US
dc.conference.pages 728-735 en_US
dc.conference.place Honolulu, HI, USA en_US
dc.conference.title 2017 IEEE International Conference on Web Services (ICWS) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.computer.org/csdl/proceedings/icws/2017/0752/00/0752a728-abs.html en_US
dc.orcid.id https://orcid.org/0000-0001-9434-5322 en_US
dc.publication.date 2017 en_US
dc.author.affiliation Lebanese American University en_US

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