DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Man-Ki | ko |
dc.contributor.author | Mohan, Sibin | ko |
dc.contributor.author | Choi, Jaesik | ko |
dc.contributor.author | Christodorescu, Mihai | ko |
dc.contributor.author | Sha, Lui | ko |
dc.date.accessioned | 2019-12-13T13:25:52Z | - |
dc.date.available | 2019-12-13T13:25:52Z | - |
dc.date.created | 2019-12-13 | - |
dc.date.created | 2019-12-13 | - |
dc.date.issued | 2017-04-20 | - |
dc.identifier.citation | 2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017, pp.191 - 196 | - |
dc.identifier.uri | http://hdl.handle.net/10203/269622 | - |
dc.description.abstract | Existing techniques used for anomaly detection do not fully utilize the intrinsic properties of embedded devices. In this paper, we propose a lightweight method for detecting anomalous executions using a distribution of system call frequencies. We use a cluster analysis to learn the legitimate execution contexts of embedded applications and then monitor them at run-time to capture abnormal executions. Our prototype applied to a real-world open-source embedded application shows that the proposed method can effectively detect anomalous executions without relying on sophisticated analyses or affecting the critical execution paths. | - |
dc.language | English | - |
dc.publisher | IoTDI | - |
dc.title | Learning Execution Contexts from System Call Distribution for Anomaly Detection in Smart Embedded System | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85019028806 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 191 | - |
dc.citation.endingpage | 196 | - |
dc.citation.publicationname | 2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Pittsburgh, PA | - |
dc.identifier.doi | 10.1145/3054977.3054999 | - |
dc.contributor.nonIdAuthor | Yoon, Man-Ki | - |
dc.contributor.nonIdAuthor | Mohan, Sibin | - |
dc.contributor.nonIdAuthor | Christodorescu, Mihai | - |
dc.contributor.nonIdAuthor | Sha, Lui | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.