LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET
Vehicular Ad-hoc Network (VANET) is an emerging technology and is an application of Mobile Ad-hoc Network (MANET). So it has same characteristics like wireless medium, dynamic topology, collision interference. Objective of VANET is to create and provide communications among group of vehicles without...
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| Format: | Article |
| Language: | English |
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Asian Research Publication Network
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/62302/ http://psasir.upm.edu.my/id/eprint/62302/1/LI-AODV.pdf |
| _version_ | 1848854602962698240 |
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| author | ABDULKADER, ZAID A. Abdullah, Azizol Abdullah @ Selimun, Mohd Taufik Ahmad Zukarnain, Zuriati |
| author_facet | ABDULKADER, ZAID A. Abdullah, Azizol Abdullah @ Selimun, Mohd Taufik Ahmad Zukarnain, Zuriati |
| author_sort | ABDULKADER, ZAID A. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Vehicular Ad-hoc Network (VANET) is an emerging technology and is an application of Mobile Ad-hoc Network (MANET). So it has same characteristics like wireless medium, dynamic topology, collision interference. Objective of VANET is to create and provide communications among group of vehicles without any central base station. An attack like Black hole in VANET is a main issue that degrades performance of whole network. Many existing algorithms tried to solve this issue but not completely. In order to solve above problems in VANET from black hole attack, we propose a new routing protocol named Lifetime Improving Ad-hoc On-demand Distance Vector (LI-AODV). To reduce overload in routing process we introduce a scheduling algorithm named Hybrid Round Robin with Highest Response Ratio Next (HRRHRRN). To prevent the network from Black hole attack we propose a new security algorithm called HMAC-SHA3-384 which is a combination of SHA3-384 and HMAC. This LI-AODV achieves better performance in lifetime of the network, reduces black hole attack, End-to-End delay, throughput, packet loss, Packet delivery ratio. Our experimental procedure provides efficient identification and removal of black hole attack in urban VANET. |
| first_indexed | 2025-11-15T11:12:29Z |
| format | Article |
| id | upm-62302 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:12:29Z |
| publishDate | 2017 |
| publisher | Asian Research Publication Network |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-623022019-10-31T01:50:06Z http://psasir.upm.edu.my/id/eprint/62302/ LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET ABDULKADER, ZAID A. Abdullah, Azizol Abdullah @ Selimun, Mohd Taufik Ahmad Zukarnain, Zuriati Vehicular Ad-hoc Network (VANET) is an emerging technology and is an application of Mobile Ad-hoc Network (MANET). So it has same characteristics like wireless medium, dynamic topology, collision interference. Objective of VANET is to create and provide communications among group of vehicles without any central base station. An attack like Black hole in VANET is a main issue that degrades performance of whole network. Many existing algorithms tried to solve this issue but not completely. In order to solve above problems in VANET from black hole attack, we propose a new routing protocol named Lifetime Improving Ad-hoc On-demand Distance Vector (LI-AODV). To reduce overload in routing process we introduce a scheduling algorithm named Hybrid Round Robin with Highest Response Ratio Next (HRRHRRN). To prevent the network from Black hole attack we propose a new security algorithm called HMAC-SHA3-384 which is a combination of SHA3-384 and HMAC. This LI-AODV achieves better performance in lifetime of the network, reduces black hole attack, End-to-End delay, throughput, packet loss, Packet delivery ratio. Our experimental procedure provides efficient identification and removal of black hole attack in urban VANET. Asian Research Publication Network 2017-01 Article NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/62302/1/LI-AODV.pdf ABDULKADER, ZAID A. and Abdullah, Azizol and Abdullah @ Selimun, Mohd Taufik and Ahmad Zukarnain, Zuriati (2017) LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET. Journal of Theoretical and Applied Information Technology, 95 (1). 196 - 209. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/ninetyfive1.php |
| spellingShingle | ABDULKADER, ZAID A. Abdullah, Azizol Abdullah @ Selimun, Mohd Taufik Ahmad Zukarnain, Zuriati LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title | LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title_full | LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title_fullStr | LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title_full_unstemmed | LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title_short | LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET |
| title_sort | li-aodv: lifetime improving aodv routing for detecting and removing black-hole attack from vanet |
| url | http://psasir.upm.edu.my/id/eprint/62302/ http://psasir.upm.edu.my/id/eprint/62302/ http://psasir.upm.edu.my/id/eprint/62302/1/LI-AODV.pdf |