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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36679447 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient Approach for Anomaly Detection in IoT Using System Calls. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shamim+N%22">Shamim N</searchLink>; Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.<br /><searchLink fieldCode="AU" term="%22Asim+M%22">Asim M</searchLink>; Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.<br /><searchLink fieldCode="AU" term="%22Baker+T%22">Baker T</searchLink>; School of Architecture, Technology and Engineering, The University of Brighton, Brighton BN2 4GJ, UK.<br /><searchLink fieldCode="AU" term="%22Awad+AI%22">Awad AI</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2023 Jan 06; Vol. 23 (2). <i>Date of Electronic Publication: </i>2023 Jan 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101204366 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1424-8220 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214248220%22">14248220 </searchLink><i>NLM ISO Abbreviation: </i>Sensors (Basel) <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36679447 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s23020652 Languages: – Code: eng Text: English Titles: – TitleFull: Efficient Approach for Anomaly Detection in IoT Using System Calls. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shamim N – PersonEntity: Name: NameFull: Asim M – PersonEntity: Name: NameFull: Baker T – PersonEntity: Name: NameFull: Awad AI IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 01 Text: 2023 Jan 06 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1424-8220 Numbering: – Type: volume Value: 23 – Type: issue Value: 2 Titles: – TitleFull: Sensors (Basel, Switzerland) Type: main |
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