Connected Autonomous Vehicle (CAV) applications have shown the promise of transformative impact on road
safety, transportation experience, and sustainability. However,
they open large and complex attack surfaces: an adversary can
corrupt sensory and communication inputs with catastrophic
results. A key challenge in development of security solutions
for CAV applications is the lack of effective infrastructure for
evaluating such solutions. In this paper, we address the problem
by designing an automated, flexible evaluation infrastructure
for CAV security solutions. Our tool, CAVELIER, provides an
extensible evaluation architecture for CAV security solutions
against compromised communication and sensor channels. The
tool can be customized for a variety of CAV applications and to
target diverse usage models. We illustrate the framework with
a number of case studies for security resiliency evaluation in
Cooperative Adaptive Cruise Control (CACC).
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REDEM: Real-Time Detection and Mitigation of Communication Attacks in Connected Autonomous Vehicle Applications
Emergent vehicles will support a variety of connected applications, where a vehicle communicates with other vehicles or with the infrastructure to make a variety of decisions. Cooperative connected applications provide a critical foundational pillar for autonomous driving, and hold the promise of improving road safety, efficiency and environmental sustainability. However, they also induce a large and easily exploitable attack surface: an adversary can manipulate vehicular communications to subvert functionality of participating individual vehicles, cause catastrophic accidents, or bring down the transportation infrastructure. In this paper we outline a potential direction to address this critical problem through a resiliency framework, REDEM, based on machine learning. REDEM has several interesting features, including (1) smooth integration with the architecture of the underlying application, (2) ability to handle diverse communication attacks within the same underlying foundation, and (3) real-time detection and mitigation capability. We present the vision of REDEM, identify some key challenges to be addressed in its realization, and discuss the kind of evaluation/analysis necessary for its viability. We also present initial results from one instantiation of REDEM introducing resiliency in Cooperative Adaptive Cruise Control (CACC).
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- Award ID(s):
- 1908549
- NSF-PAR ID:
- 10191934
- Date Published:
- Journal Name:
- IFIP advances in information and communication technology
- Volume:
- 574
- ISSN:
- 1868-4238
- Page Range / eLocation ID:
- 105-122
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1007/978-3-030-43605-6_7
