A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol
In this paper, we address the problem of detecting misbehaving vehicles in Vehicular Ad-Hoc Network using VANET QoS-OLSR, Quality of Service-Optimized Link State Routing protocol. VANET QoS-OLSR is a clustering protocol that is able to increase the stability of the network while maintaining the QoS...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | conferenceObject |
| Published: |
2017
|
| Online Access: | http://hdl.handle.net/10725/5345 http://dx.doi.org/10.1109/ICUWB.2015.7324400 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7324400/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513465814614016 |
|---|---|
| author | El Khatib, Amjad |
| author2 | Mourad, Azzam Otrok, Hadi Abdel Wahab, Omar Bentahar, Jamal |
| author2_role | author author author author |
| author_facet | El Khatib, Amjad Mourad, Azzam Otrok, Hadi Abdel Wahab, Omar Bentahar, Jamal |
| author_role | author |
| dc.creator.none.fl_str_mv | El Khatib, Amjad Mourad, Azzam Otrok, Hadi Abdel Wahab, Omar Bentahar, Jamal |
| dc.date.none.fl_str_mv | 2017-03-09T12:25:39Z 2017-03-09T12:25:39Z 2017-03-09 |
| dc.identifier.none.fl_str_mv | 9781467365550 http://hdl.handle.net/10725/5345 http://dx.doi.org/10.1109/ICUWB.2015.7324400 El Khatib, A., Mourad, A., Otrok, H., Wahab, O. A., & Bentahar, J. (2015, October). A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) (pp. 1-5). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7324400/ |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | In this paper, we address the problem of detecting misbehaving vehicles in Vehicular Ad-Hoc Network using VANET QoS-OLSR, Quality of Service-Optimized Link State Routing protocol. VANET QoS-OLSR is a clustering protocol that is able to increase the stability of the network while maintaining the QoS requirements. However, in this protocol, vehicles can misbehave either by under-speeding or over- speeding the road speed limits after clusters are formed. Such misbehavior leads to a widely disconnected network, which raises the need for a detection mechanism. The majority of the existing detection mechanisms are non-cooperative in the sense that they are based on unilateral judgments, which may be untrustworthy. Others employ cooperative detection scheme with evidence-based aggregation techniques such as the Dempster-Shafer (DS) which suffers from the (1) instability when observations come from dependent sources and (2) absence of learning mechanism. To overcome these limitations, we propose a cooperative method using Artificial Neural Network (ANN), which is able to (1) aggregate judgments and prevent the unilateral decisions, and (2) benefit from the previous detection experience by continuous learning. Simulation results show that our model improves the detection probability and reduces the false alarms rate. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_a6c6e0946a388a3abc3216ad16496ca7 |
| identifier_str_mv | 9781467365550 El Khatib, A., Mourad, A., Otrok, H., Wahab, O. A., & Bentahar, J. (2015, October). A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) (pp. 1-5). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5345 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocolEl Khatib, AmjadMourad, AzzamOtrok, HadiAbdel Wahab, OmarBentahar, JamalIn this paper, we address the problem of detecting misbehaving vehicles in Vehicular Ad-Hoc Network using VANET QoS-OLSR, Quality of Service-Optimized Link State Routing protocol. VANET QoS-OLSR is a clustering protocol that is able to increase the stability of the network while maintaining the QoS requirements. However, in this protocol, vehicles can misbehave either by under-speeding or over- speeding the road speed limits after clusters are formed. Such misbehavior leads to a widely disconnected network, which raises the need for a detection mechanism. The majority of the existing detection mechanisms are non-cooperative in the sense that they are based on unilateral judgments, which may be untrustworthy. Others employ cooperative detection scheme with evidence-based aggregation techniques such as the Dempster-Shafer (DS) which suffers from the (1) instability when observations come from dependent sources and (2) absence of learning mechanism. To overcome these limitations, we propose a cooperative method using Artificial Neural Network (ANN), which is able to (1) aggregate judgments and prevent the unilateral decisions, and (2) benefit from the previous detection experience by continuous learning. Simulation results show that our model improves the detection probability and reduces the false alarms rate.N/AIEEE2017-03-09T12:25:39Z2017-03-09T12:25:39Z2017-03-09Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9781467365550http://hdl.handle.net/10725/5345http://dx.doi.org/10.1109/ICUWB.2015.7324400El Khatib, A., Mourad, A., Otrok, H., Wahab, O. A., & Bentahar, J. (2015, October). A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. In 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) (pp. 1-5). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ieeexplore.ieee.org/abstract/document/7324400/eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/53452021-03-19T12:34:43Z |
| spellingShingle | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol El Khatib, Amjad |
| status_str | publishedVersion |
| title | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| title_full | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| title_fullStr | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| title_full_unstemmed | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| title_short | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| title_sort | A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol |
| url | http://hdl.handle.net/10725/5345 http://dx.doi.org/10.1109/ICUWB.2015.7324400 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7324400/ |