Containing smartphone worm propagation with an influence maximization algorithm Peng,S, Wu,M, Wang,G and Yu,S 2014, Containing smartphone worm propagation with an influence maximization algorithm, Computer Networks, vol. 74, no. Part B, pp. 103-113, doi: 10.1016/j.comnet.2014.09.004. Attached Files Name Description MIMEType Size Downloads Title Containing smartphone worm propagation with an influence maximization algorithm Author(s) Peng,S Wu,M Wang,G Yu,S orcid.org/0000-0003-4485-6743 Journal name Computer Networks Volume number 74 Issue number Part B Start page 103 End page 113 Total pages 11 Publisher Elsevier BV Place of publication Amsterdam, Netherlands Publication date 2014-12-09 ISSN 1389-1286 Keyword(s) Influence maximization Smartphones Social relationship graph Voting algorithm Immunization Worm containment Science & Technology Technology Computer Science, Hardware & Architecture Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Voting algorithm Immunization SOCIAL NETWORKS MALWARE DYNAMICS VIRUS Summary In recent years, wide attention has been drawn to the problem of containing worm propagation in smartphones. Unlike existing containment models for worm propagation, we study how to prevent worm propagation through the immunization of key nodes (e.g.; the top k influential nodes). Thus, we propose a novel containment model based on an influence maximization algorithm. In this model, we introduce a social relation graph to evaluate the influence of nodes and an election mechanism to find the most influential nodes. Finally, this model provides a targeted immunization strategy to disable worm propagation by immunizing the top k influential nodes. The experimental results show that the model not only finds the most influential top k nodes quickly, but also effectively restrains and controls worm propagation. Language eng DOI 10.1016/j.comnet.2014.09.004 Field of Research 080503 Networking and Communications Socio Economic Objective 890101 Fixed Line Data Networks and Services HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30072505 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 20 Apr 2015, 16:34:48 EST Wed, 22 Apr 2015, 16:00:55 EST Thu, 23 Apr 2015, 05:00:22 EST Thu, 23 Apr 2015, 06:07:58 EST Thu, 23 Apr 2015, 10:08:07 EST Thu, 23 Apr 2015, 10:11:42 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 14 times in Scopus Search Google Scholar Access Statistics: 335 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 22 Apr 2015, 16:00:55 EST