VANET security surveys

By Richard Gilles Engoulou, Martine Bellaïche, Samuel Pierre, Alejandro Quintero. Computer Communications, 2014

478 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a8a0d3ee6455a197ede9e6280b50c2bd051c140d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Gang Qu
2. Chen-Nee Chuah
3. Wenjia Li
4. Dipak Ghosal
5. Sevil Şen
6. Zhenglin Liu
7. Houbing Song
8. Fengzhong Qu

In Electrical and Electronic Engineering

1. Gang Qu
2. Francis Mccullough
3. A. Mouzakitis
4. Dipak Ghosal
5. Sevil Şen
6. Mehrdad Dianati
7. Fei-Yue Wang
8. W. Cho

Citations in the corpus

• A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications (2018, background): “Therefore, a security mechanism for the network will be required to protect the integrity of the network whilst maintaining the users’ privacy [88].”
• A Security and Privacy Review of VANETs (2015, background): “Local attackers only perpetrate attacks in a limited range while extended attackers attack across the network.”
• CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles (2018, background): “With the increasing privacy concerns in VANETs, since the messages should be forwarded anonymously in VANETs, several attacks [11], [12]–[15] (e.”
• Edge Computing for Autonomous Driving: Opportunities and Challenges (2019, unknown): “[116] R.”
• Security vulnerabilities of connected vehicle streams and their impact on cooperative driving (2015, background): “Thus, the only active communication between CACC vehicles is beaconing that is used to exchange necessary parameters for longitudinal controller.”
• ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks (2016, background): “The higher the value of θ(i)k , the node Nk is more likely to conduct B (i) k properly.”
• A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacy (2019, background): “Unique characteristics such as high mobility and volatility of VANETs have made it vulnerable to various kinds of external and internal attacks [6].”
• A survey of attacks and detection mechanisms on intelligent transportation systems: VANETs and IoV (2017, background): “Currently, there is no global authority providing security for such networks, largely because it is a challenging task to define standardized rules for VANETs since the aforementioned privacy-security trade-off differs from one country to the next [8].”