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dc.contributor.authorUsman, Muhammad
dc.contributor.authorMuthukkumarasamy, Vallipuram
dc.contributor.authorWu, Xin-Wen
dc.date.accessioned2019-02-12T05:54:42Z
dc.date.available2019-02-12T05:54:42Z
dc.date.issued2015
dc.identifier.issn0098-3063
dc.identifier.doi10.1109/TCE.2015.7150594
dc.identifier.urihttp://hdl.handle.net/10072/99255
dc.description.abstractDespite the rapid advancements in consumer electronics, the data transmitted by sensing devices in a smart home environment are still vulnerable to anomalies due to node faults, transmission errors, or attacks. This affects the reliability of the received sensed data and may lead to the incorrect decision making at both local (i.e., smart home) and global (i.e., smart city) levels. This study introduces a novel mobile agent-based cross-layer anomaly detection scheme, which takes into account stochastic variability in cross-layer data obtained from received data packets, and defines fuzzy logic-based soft boundaries to characterize behavior of sensor nodes. This cross-layer design approach empowers the proposed scheme to detect both node and link anomalies, and also effectively transmits mobile agents by considering the communication link-state before transmission of the mobile agent. The proposed scheme is implemented on a real testbed and a modular application software is developed to manage the anomaly detection system in the smart home. The experimental results show that the proposed scheme detects cross-layer anomalies with high accuracy and considerably reduces the energy consumption caused by the mobile agent transmission in the poor communication link-state situations.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofpagefrom197
dc.relation.ispartofpageto205
dc.relation.ispartofissue2
dc.relation.ispartofjournalIEEE Transactions on Consumer Electronics
dc.relation.ispartofvolume61
dc.subject.fieldofresearchCommunications engineering
dc.subject.fieldofresearchcode4006
dc.titleMobile Agent-Based Cross-Layer Anomaly Detection in Smart Home Sensor Networks Using Fuzzy Logic
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorMuthukkumarasamy, Vallipuram


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