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dc.contributor.authorChen, Pin-Yuen_US
dc.contributor.authorLin, Ching-Chaoen_US
dc.contributor.authorCheng, Shin-Mingen_US
dc.contributor.authorHsiao, Hsu-Chunen_US
dc.contributor.authorHuang, Chun-Yingen_US
dc.date.accessioned2017-04-21T06:56:45Z-
dc.date.available2017-04-21T06:56:45Z-
dc.date.issued2016-06en_US
dc.identifier.issn0163-6804en_US
dc.identifier.urihttp://hdl.handle.net/11536/132576-
dc.description.abstractThe evolution of communication technology and the proliferation of electronic devices have rendered adversaries powerful means for targeted attacks via all sorts of accessible resources. In particular, due to the intrinsic interdependence and ubiquitous connectivity of modern communication systems, adversaries can devise malware that propagates through intermediate hosts to approach the target, to which we refer as transmissive attacks. Inspired by biology, the transmission pattern of such an attack in the digital space much resembles the spread of an epidemic in real life. This article describes transmissive attacks, summarizes the utility of epidemic models in communication systems, and draws connections between transmissive attacks and epidemic models. Simulations, experiments, and ongoing research challenges on transmissive attacks are also addressed.en_US
dc.language.isoen_USen_US
dc.titleDecapitation via Digital Epidemics: A Bio-Inspired Transmissive Attacken_US
dc.identifier.journalIEEE COMMUNICATIONS MAGAZINEen_US
dc.citation.volume54en_US
dc.citation.issue6en_US
dc.citation.spage75en_US
dc.citation.epage81en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000383436000012en_US
Appears in Collections:Articles