On a simulation study of cyber attacks on vehicle-to-infrastructure communication (V2I) in Intelligent Transportation System (ITS)

Abstract

An intelligent transportation system (ITS) is one typical cyber-physical system (CPS) that aims to provide efficient, effective, reliable, and safe driving experiences with minimal congestion and effective traffic flow management. In order to achieve these goals, various ITS technologies need to work synergistically. Nonetheless, ITS's reliance on wireless connectivity makes it vulnerable to cyber threats. Thus, it is critical to understand the impact of cyber threats on ITS. In this paper, using real-world transportation dataset, we evaluated the consequences of cyber threats -attacks against service availability by jamming the communication channel of ITS. In this way, we can have a better understanding of the importance of ensuring adequate security respecting safety and life-critical ITS applications before full and expensive realworld deployments. Our experimental data shows that cyber threats against service availability could adversely affect traffic efficiency and safety performances evidenced by exacerbated travel time, fuel consumed, and other evaluated performance metrics as the communication network is compromised. Finally, we discuss a framework to make ITS secure and more resilient against cyber threats.

Trust-based adversary detection in edge computing assisted vehicular networks

“…There are mainly two sources of attack, i.e., the vehicle and the RSU. Attacks that can be launched by the vehicle are similar to V2VC attacks and have been extensively explored [9]- [11]. In this section, we mainly focus on detection mechanisms for attacks launched by a compromised RSU.…”

The Impact of Cyberattacks on Efficient Operations of CAVs

“…Two studies were found that quantified the impact of cyberattacks against CAVs in terms of transportation MOEs. Ekedebe et al (2015) studied the effect of a jamming DoS attack on a transportation network following a crash and the subsequent traffic backup. Similarly, Garip et al (2015) demonstrated how a vehicular botnet could impact roadway traffic operations and travel times.…”

“…However, neither presented detailed, quantifiable impacts on safety. Ekedebe et al (2015) set up a simulation where upstream traffic was slowed/stopped due to a crash. A jamming DoS attack was implemented on downstream vehicles, ranging from 0 to 100% communication jam.…”

“…These communications jamming attacks aimed to hamper the compromised vehicles' ability to reroute around the traffic jam dynamically. The study showed that more vehicles remained on the jammed route as the attack reduced communications, resulting in even more travel time delay, increased travel times, increased emissions, and decreased average speed for the compromised vehicles (Ekedebe et al, 2015). Garip et al (2015) used a different tactic to lure compromised vehicles onto already congested street segments, using a bot network to send falsified messages.…”

A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles

“…DDoS attacks on V2I networks are likely to disrupt transportation in a large region, especially if the infrastructure provides critical information to control traffic flows. Ekedebe et al (2015) [176] experimented with DoS attacks on V2I network by using a simulated environment and showed that DoS attacks can prevent all messages from being sent to vehicles in the network. V2V networks are also possible targets for DoS and DDoS attacks because they have limited connection bandwidth.…”