Efficient Approach for Anomaly Detection in IoT Using System Calls.
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| Title: | Efficient Approach for Anomaly Detection in IoT Using System Calls. |
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| Authors: | Shamim N; Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan., Asim M; Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan., Baker T; School of Architecture, Technology and Engineering, The University of Brighton, Brighton BN2 4GJ, UK., Awad AI; College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 17551, United Arab Emirates.; Centre for Security, Communications and Network Research, University of Plymouth, Plymouth PL4 8AA, UK. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 06; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s23020652 |
