Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks
A sparse wireless sensor network for forest fire detection is considered. It is assumed that two types of malicious nodes can exist in this network. The malicious behaviors are assumed to be concealed through some statistical behavior. A lightweight centralized trust-based model is proposed to detec...
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| Format: | Article |
| Language: | English |
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Wiley
2016-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716657246 |
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| _version_ | 1832545235618496512 |
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| author | Nasser-Eddine Rikli Aljawharah Alnasser |
| author_facet | Nasser-Eddine Rikli Aljawharah Alnasser |
| author_sort | Nasser-Eddine Rikli |
| collection | DOAJ |
| description | A sparse wireless sensor network for forest fire detection is considered. It is assumed that two types of malicious nodes can exist in this network. The malicious behaviors are assumed to be concealed through some statistical behavior. A lightweight centralized trust-based model is proposed to detect malicious or misbehaving nodes. We assume that all nodes contribute to this process through the gathering of statistical data related to communication with their neighbors. These data are periodically sent to a base station, where all trust functions are executed. A simulation model is built to evaluate system performance, and the results show that the proposed model is efficient in detecting all types of considered malicious nodes. |
| format | Article |
| id | doaj-art-63f94c0b282240c899e3c35a83dfc947 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-63f94c0b282240c899e3c35a83dfc9472025-02-03T07:26:22ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-07-011210.1177/1550147716657246Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networksNasser-Eddine Rikli0Aljawharah Alnasser1Department of Computer Engineering, King Saud University, Saudi ArabiaDepartment of Information Technology, King Saud University, Saudi ArabiaA sparse wireless sensor network for forest fire detection is considered. It is assumed that two types of malicious nodes can exist in this network. The malicious behaviors are assumed to be concealed through some statistical behavior. A lightweight centralized trust-based model is proposed to detect malicious or misbehaving nodes. We assume that all nodes contribute to this process through the gathering of statistical data related to communication with their neighbors. These data are periodically sent to a base station, where all trust functions are executed. A simulation model is built to evaluate system performance, and the results show that the proposed model is efficient in detecting all types of considered malicious nodes.https://doi.org/10.1177/1550147716657246 |
| spellingShingle | Nasser-Eddine Rikli Aljawharah Alnasser Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks International Journal of Distributed Sensor Networks |
| title | Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| title_full | Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| title_fullStr | Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| title_full_unstemmed | Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| title_short | Lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| title_sort | lightweight trust model for the detection of concealed malicious nodes in sparse wireless ad hoc networks |
| url | https://doi.org/10.1177/1550147716657246 |
| work_keys_str_mv | AT nassereddinerikli lightweighttrustmodelforthedetectionofconcealedmaliciousnodesinsparsewirelessadhocnetworks AT aljawharahalnasser lightweighttrustmodelforthedetectionofconcealedmaliciousnodesinsparsewirelessadhocnetworks |