A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs

Vehicular Ad-Hoc Networks (VANETs) are susceptible to various types of attacks due to their characteristics. Among these threats, greedy behaviour attacks stand out, necessitating the update and adaptation of security measures to mitigate this evolving threat. While much of the existing literature o...

Full description

Saved in:
Bibliographic Details
Published inSN computer science Vol. 5; no. 7; p. 822
Main Authors Ismail, Tayssir, Hajlaoui, Nasreddine, Touati, Haifa, Elhadad, Mohamed, Muhlethaler, Paul, Saidane, Leila Azouz
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 27.08.2024
Springer Nature B.V
Springer
Subjects
Advances in Intelligent and Secured Protocols towards Mobile and IoT Paradigms
Behavior
Carrier sense multiple access-collision detection
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Cooperation
Data Structures and Information Theory
Decision making
Energy consumption
Fuzzy logic
Game theory
Information Systems and Communication Service
Mobile ad hoc networks
Original Research
Pattern Recognition and Graphics
Performance evaluation
Performance measurement
Protocol
Regression analysis
Reputations
Software Engineering/Programming and Operating Systems
Time Division Multiple Access
Vision
Wireless networks
Fuzzy logic
VANETs
TDMA
Greedy behaviour
Attack detection
Online AccessGet full text

Cover

More Information
Summary:Vehicular Ad-Hoc Networks (VANETs) are susceptible to various types of attacks due to their characteristics. Among these threats, greedy behaviour attacks stand out, necessitating the update and adaptation of security measures to mitigate this evolving threat. While much of the existing literature on greedy behaviour attacks has focused on the CSMA/CD protocol, this paper shifts its focus to the Time Division Multiple Access (TDMA) protocol, specifically the Distributed Time Division Multiple Access (DTMAC) protocol. The aim is to uncover potential greedy actions that attackers could exploit. We carefully analyze the DTMAC protocol and identify four new greedy actions, revealing new vulnerabilities that have not been explored before. To prevent these newly discovered behaviours, we implement a new watchdog system that utilises fuzzy logic. This watchdog system acts as a robust defense mechanism, actively identifying potential attackers who display greedy actions within the DTMAC protocol. Extensive simulations using NS2 were carried out for validation and evaluation purposes. The outcomes of our experiments show outstanding performance metrics such as accuracy, precision, recall, and F1 score. These results highlight the effectiveness of our suggested watchdog-based method in identifying greedy behaviour attackers in the DTMAC protocol.
ISSN:2662-995X
2661-8907
DOI:10.1007/s42979-024-03177-6