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Conference Paper: Muse: Towards robust and stealthy mobile botnets via multiple message push services

TitleMuse: Towards robust and stealthy mobile botnets via multiple message push services
Authors
Issue Date2016
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, v. 9722, p. 20-39 How to Cite?
Abstract© Springer International Publishing Switzerland 2016. Exploiting unique features in mobile networks and smartphones, mobile botnets pose a severe threat to mobile users, because smartphones have become an indispensable part of our daily lives and carried a lot of private information. However, existing mobile botnets usually rely on a single command and control channel (e.g., a push server or an SMS server) to disseminate commands, which can become the bottleneck or a single point of failure, without considering the robustness. In this paper, we propose MUSE, a novel multiple push service-based botnet, which can significantly outperform existing push-styled mobile botnets in terms of robustness, controllability, scalability, and stealthiness. Although the basic idea of using multiple push services seems straightforward, we explore the design space of exploiting such services and tackle several challenging issues to overcome the limitations of existing push-styled mobile botnets. We have implemented MUSE by exploiting ten popular push services and evaluated it through extensive experiments. The results demonstrate not only MUSE’s feasibility but also its advantages, such as stealthiness, controllability etc.
Persistent Identifierhttp://hdl.handle.net/10722/280589
ISSN
2023 SCImago Journal Rankings: 0.606
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Wei-
dc.contributor.authorLuo, Xiapu-
dc.contributor.authorYin, Chengyu-
dc.contributor.authorXiao, Bin-
dc.contributor.authorAu, Man Ho-
dc.contributor.authorTang, Yajuan-
dc.date.accessioned2020-02-17T14:34:25Z-
dc.date.available2020-02-17T14:34:25Z-
dc.date.issued2016-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, v. 9722, p. 20-39-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/280589-
dc.description.abstract© Springer International Publishing Switzerland 2016. Exploiting unique features in mobile networks and smartphones, mobile botnets pose a severe threat to mobile users, because smartphones have become an indispensable part of our daily lives and carried a lot of private information. However, existing mobile botnets usually rely on a single command and control channel (e.g., a push server or an SMS server) to disseminate commands, which can become the bottleneck or a single point of failure, without considering the robustness. In this paper, we propose MUSE, a novel multiple push service-based botnet, which can significantly outperform existing push-styled mobile botnets in terms of robustness, controllability, scalability, and stealthiness. Although the basic idea of using multiple push services seems straightforward, we explore the design space of exploiting such services and tackle several challenging issues to overcome the limitations of existing push-styled mobile botnets. We have implemented MUSE by exploiting ten popular push services and evaluated it through extensive experiments. The results demonstrate not only MUSE’s feasibility but also its advantages, such as stealthiness, controllability etc.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleMuse: Towards robust and stealthy mobile botnets via multiple message push services-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-319-40253-6_2-
dc.identifier.scopuseid_2-s2.0-84978230435-
dc.identifier.volume9722-
dc.identifier.spage20-
dc.identifier.epage39-
dc.identifier.eissn1611-3349-
dc.identifier.isiWOS:000386508700002-
dc.identifier.issnl0302-9743-

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