On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique
Sybil security threat in vehicular ad hoc networks (VANETs) has attracted much attention in recent times. The attacker introduces malicious nodes with multiple identities. As the roadside unit fails to synchronize its clock with legitimate vehicles, unintended vehicles are identified, and therefore...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8432424/ |
| _version_ | 1818645001181069312 |
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| author | Celestine Iwendi Mueen Uddin James A. Ansere P. Nkurunziza J. H. Anajemba Ali Kashif Bashir |
| author_facet | Celestine Iwendi Mueen Uddin James A. Ansere P. Nkurunziza J. H. Anajemba Ali Kashif Bashir |
| author_sort | Celestine Iwendi |
| collection | DOAJ |
| description | Sybil security threat in vehicular ad hoc networks (VANETs) has attracted much attention in recent times. The attacker introduces malicious nodes with multiple identities. As the roadside unit fails to synchronize its clock with legitimate vehicles, unintended vehicles are identified, and therefore erroneous messages will be sent to them. This paper proposes a novel biologically inspired spider-monkey time synchronization technique for large-scale VANETs to boost packet delivery time synchronization at minimized energy consumption. The proposed technique is based on the metaheuristic stimulated framework approach by the natural spider-monkey behavior. An artificial spider-monkey technique is used to examine the Sybil attacking strategies on VANETs to predict the number of vehicular collisions in a densely deployed challenge zone. Furthermore, this paper proposes the pseudocode algorithm randomly distributed for energy-efficient time synchronization in two-way packet delivery scenarios to evaluate the clock offset and the propagation delay in transmitting the packet beacon message to destination vehicles correctly. The performances of the proposed technique are compared with existing protocols. It performs better over long transmission distances for the detection of Sybil in dynamic VANETs' system in terms of measurement precision, intrusion detection rate, and energy efficiency. |
| first_indexed | 2024-12-17T00:23:48Z |
| format | Article |
| id | doaj.art-5d0437bb272b4ab59446c7480aac4743 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T00:23:48Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5d0437bb272b4ab59446c7480aac47432022-12-21T22:10:31ZengIEEEIEEE Access2169-35362018-01-016472584726710.1109/ACCESS.2018.28641118432424On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey TechniqueCelestine Iwendi0Mueen Uddin1https://orcid.org/0000-0003-1919-3407James A. Ansere2P. Nkurunziza3J. H. Anajemba4Ali Kashif Bashir5https://orcid.org/0000-0003-2601-9327Bangor College China, Central South University of Forestry and Technology, Hunan, ChinaDepartment of Information Systems, Faculty of Engineering, Effat University, Jeddah, Saudi ArabiaCollege of Internet of Things Engineering, Hohai University, Changzhou, ChinaCollege of Internet of Things Engineering, Hohai University, Changzhou, ChinaCollege of Internet of Things Engineering, Hohai University, Changzhou, ChinaFaculty of Science and Technology, University of the Faroe Islands, Tórshavn, DenmarkSybil security threat in vehicular ad hoc networks (VANETs) has attracted much attention in recent times. The attacker introduces malicious nodes with multiple identities. As the roadside unit fails to synchronize its clock with legitimate vehicles, unintended vehicles are identified, and therefore erroneous messages will be sent to them. This paper proposes a novel biologically inspired spider-monkey time synchronization technique for large-scale VANETs to boost packet delivery time synchronization at minimized energy consumption. The proposed technique is based on the metaheuristic stimulated framework approach by the natural spider-monkey behavior. An artificial spider-monkey technique is used to examine the Sybil attacking strategies on VANETs to predict the number of vehicular collisions in a densely deployed challenge zone. Furthermore, this paper proposes the pseudocode algorithm randomly distributed for energy-efficient time synchronization in two-way packet delivery scenarios to evaluate the clock offset and the propagation delay in transmitting the packet beacon message to destination vehicles correctly. The performances of the proposed technique are compared with existing protocols. It performs better over long transmission distances for the detection of Sybil in dynamic VANETs' system in terms of measurement precision, intrusion detection rate, and energy efficiency.https://ieeexplore.ieee.org/document/8432424/Spider monkey time synchronization (SMTS)Sybil attacksprobability of detectionVANETs |
| spellingShingle | Celestine Iwendi Mueen Uddin James A. Ansere P. Nkurunziza J. H. Anajemba Ali Kashif Bashir On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique IEEE Access Spider monkey time synchronization (SMTS) Sybil attacks probability of detection VANETs |
| title | On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique |
| title_full | On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique |
| title_fullStr | On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique |
| title_full_unstemmed | On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique |
| title_short | On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique |
| title_sort | on detection of sybil attack in large scale vanets using spider monkey technique |
| topic | Spider monkey time synchronization (SMTS) Sybil attacks probability of detection VANETs |
| url | https://ieeexplore.ieee.org/document/8432424/ |
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