Advanced Strategies for Mitigating Anomalies in Vehicular Ad-Hoc Networks (VANETs)

Vehicular Ad-Hoc Networks are emerging as critical infrastructure components in intelligent transportation systems, enabling seamless communication between vehicles and roadside units. These vulnerabilities can compromise the safety, reliability, and efficiency of the entire network, necessitating advanced strategies for anomaly detection and mitigation. Vehicular Ad Hoc Networks have evolved as an important component of intelligent transportation systems, improving traffic safety and efficiency. However, because to their dynamic and open nature, Vehicular Ad Hoc Networks are vulnerable to a variety of security vulnerabilities, including anomalies that can interrupt normal network operations. This work focuses on a complete analysis and assessment of several anomaly detection techniques in the context of Vehicular Ad Hoc Networks. Vehicular ad hoc networks allow wireless communication between automobiles and vehicle-to-infrastructure systems. The fundamental purpose of Vehicular Ad Hoc Networks is to improve roadway safety, comfort, and convenience. Vehicular Ad Hoc Networks differ from ad hoc networks in several ways. However, the lack of infrastructure and centralized administration renders them vulnerable to misbehavior, posing a severe danger to many elements of Vehicular Ad Hoc Networks. Given its importance, this important network requires strong security measures to maintain secure communication. The suggested technique for detecting anomalies and malicious nodes in Vehicular Ad Hoc Networks improves the technique by successfully selecting verifiers to detect malicious nodes, resulting in improved network performance.

Authors

Institutions

Publication Details

Published
2025-02-20
DOI
https://doi.org/10.1109/icsc64553.2025.10968260
Citations
1
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Strategies for Mitigating Anomalies in Vehicular Ad-Hoc Networks (VANETs)

Rajeev Goyal, Balaji G. N, Thuvva Anjali
1 citations
Vehicular Ad Hoc Networks (VANETs)
0.73
article

Advanced Strategies for Mitigating Anomalies in Vehicular Ad-Hoc Networks (VANETs)

Rajeev Goyal, Balaji G. N, Thuvva Anjali
article en
1 citations

Abstract

Vehicular Ad-Hoc Networks are emerging as critical infrastructure components in intelligent transportation systems, enabling seamless communication between vehicles and roadside units. These vulnerabilities can compromise the safety, reliability, and efficiency of the entire network, necessitating advanced strategies for anomaly detection and mitigation. Vehicular Ad Hoc Networks have evolved as an important component of intelligent transportation systems, improving traffic safety and efficiency. However, because to their dynamic and open nature, Vehicular Ad Hoc Networks are vulnerable to a variety of security vulnerabilities, including anomalies that can interrupt normal network operations. This work focuses on a complete analysis and assessment of several anomaly detection techniques in the context of Vehicular Ad Hoc Networks. Vehicular ad hoc networks allow wireless communication between automobiles and vehicle-to-infrastructure systems. The fundamental purpose of Vehicular Ad Hoc Networks is to improve roadway safety, comfort, and convenience. Vehicular Ad Hoc Networks differ from ad hoc networks in several ways. However, the lack of infrastructure and centralized administration renders them vulnerable to misbehavior, posing a severe danger to many elements of Vehicular Ad Hoc Networks. Given its importance, this important network requires strong security measures to maintain secure communication. The suggested technique for detecting anomalies and malicious nodes in Vehicular Ad Hoc Networks improves the technique by successfully selecting verifiers to detect malicious nodes, resulting in improved network performance.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 29%
Vehicular Ad Hoc Networks (VANETs)
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.