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dc.contributor.authorSkowyra, Ricken_US
dc.contributor.authorBahargam, Sanazen_US
dc.contributor.authorBestavros, Azeren_US
dc.date.accessioned2015-06-24T19:48:53Z
dc.date.available2015-06-24T19:48:53Z
dc.date.issued2013-05-01
dc.identifier.citationSkowyra, Rick; Bahargam, Sanaz; Bestavros, Azer. "Software-Defined IDS for Securing Embedded Mobile Devices", Technical Report BUCS-TR-2013-005, Computer Science Department, Boston University, May 1, 2013. [Available from: http://hdl.handle.net/2144/11414]
dc.identifier.urihttps://hdl.handle.net/2144/11414
dc.description.abstractThe increasing deployment of networked mobile embedded devices leads to unique challenges in communications security. This is especially true for embedded biomedical devices and robotic materials handling, in which subversion or denial of service could result in loss of human life and other catastrophic outcomes. In this paper we present the Learning Intrusion Detection System (L-IDS), a network security service for protecting embedded mobile devices within institutional boundaries, which can be deployed alongside existing security systems with no modifications to the embedded devices. L-IDS utilizes the OpenFlow Software-Defined Networking architecture, which allows it to both detect and respond to attacks as they happen.en_US
dc.description.sponsorshipNational Science Foundation (1239021, 1012798, 0735974)en_US
dc.language.isoen_US
dc.publisherComputer Science Department, Boston Universityen_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-2013-005
dc.titleSoftware-defined IDS for securing embedded mobile devicesen_US
dc.typeTechnical Reporten_US


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