TY - GEN
T1 - A Secure Scheme for Vehicle-to-Vehicle (V2V) Routing Protocol
AU - Alawieh, Mostafa
AU - Fahs, Walid
AU - Haydar, Jamal
AU - Chbib, Fadlallah
AU - Fadlallah, Ahmad
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Intelligent Transportation System (ITS) has witnessed some great advancements in the recent years increasing the drivers' safety and comfort. ITS offers for types of wireless communications: vehicle to vehicle (V2V), vehicle to Road-Side Unit (V2R), Vehicle to everything (V2X) and Vehicle to Infrastructure (V2I). The highly dynamic connections and the time sensitivity of ITS make it an eye-catching field for attackers. Moreover, Security dangers and vulnerabilities have increased as V2V communications have evolved. Vehicular communications are exposed to several vulnerabilities such as Denial of Service attacks (DOS), Black hole and fabrication attacks. Fabrication attacks involve a malicious vehicle that alters the packet's information, causing serious network damage such as congestion and high delay. We propose a new secure routing scheme aims at detecting malicious vehicles and eliminating them from the network. Each vehicle is monitored by its neighbors. We identify a malicious vehicle by detecting an asymmetric average between its inputs and outputs routing packets, and a delete message is sent throughout the network to eliminate the malicious car from the routing table. Simulations show that the proposed scheme has improved the performance and efficiency of the Ad-hoc On-demand Distance Vector (AODV) protocol with respect to end-to-end delay, throughput and packet delivery ratio.
AB - Intelligent Transportation System (ITS) has witnessed some great advancements in the recent years increasing the drivers' safety and comfort. ITS offers for types of wireless communications: vehicle to vehicle (V2V), vehicle to Road-Side Unit (V2R), Vehicle to everything (V2X) and Vehicle to Infrastructure (V2I). The highly dynamic connections and the time sensitivity of ITS make it an eye-catching field for attackers. Moreover, Security dangers and vulnerabilities have increased as V2V communications have evolved. Vehicular communications are exposed to several vulnerabilities such as Denial of Service attacks (DOS), Black hole and fabrication attacks. Fabrication attacks involve a malicious vehicle that alters the packet's information, causing serious network damage such as congestion and high delay. We propose a new secure routing scheme aims at detecting malicious vehicles and eliminating them from the network. Each vehicle is monitored by its neighbors. We identify a malicious vehicle by detecting an asymmetric average between its inputs and outputs routing packets, and a delete message is sent throughout the network to eliminate the malicious car from the routing table. Simulations show that the proposed scheme has improved the performance and efficiency of the Ad-hoc On-demand Distance Vector (AODV) protocol with respect to end-to-end delay, throughput and packet delivery ratio.
KW - Ad-hoc On-demand Distance Vector
KW - Fabrication Attack
KW - Security
KW - Vehicle-to-Vehicle Communication
U2 - 10.1109/CIoT53061.2022.9766544
DO - 10.1109/CIoT53061.2022.9766544
M3 - Conference contribution
AN - SCOPUS:85130482888
T3 - 5th Conference on Cloud and Internet of Things, CIoT 2022
SP - 1
EP - 8
BT - 5th Conference on Cloud and Internet of Things, CIoT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th Conference on Cloud and Internet of Things, CIoT 2022
Y2 - 28 March 2022 through 30 March 2022
ER -