Distributed Deception Attack Detection in Platoon-Based Connected Vehicle Systems

Ju, Zhiyang; Zhang, Hui; Tan, Ying

doi:10.1109/tvt.2020.2980137

Cited by 98 publications

(19 citation statements)

References 39 publications

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“…However, the structure of OSV-MPC, by not using control elements, allows the implementation of more elaborate failure detection controls (FTC), some of which are used in other branches of electronics, opening a vast field of studies related to these topics [59,60].…”

Section: Equal Capacitancementioning

confidence: 99%

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

et al. 2020

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This paper proposes a new cascaded multilevel converter topology based on three-phase H bridge cells with a common DC-link structure. The proposed multilevel converter topology main advantages, compared with literature renowned multilevel converters topologies, are discussed in the paper, such as modularity, construction, implementation cost, and DC voltage ripple mitigation. Despite presenting an elementary structure and easy implementation, the use of classic PWM switching strategies is not feasible for this topology, causing the appearance of several short-circuit states between its capacitors. Thus, a graph theory algorithm combined with a model predictive control is also proposed in this work to identify and avoid the new cascaded multilevel converter short-circuit switching states and, concomitantly, guaranteeing the converter output power quality. In order to validate the presented topology applicability, a low voltage synchronous static compensators (STATCOM) with an optimal switching vector model predictive control (OSV-MPC) is implemented in a hardware-in-the-loop platform. The real-time experimental results prove the proposed multilevel topology and the OSV-MPC control strategy effectiveness.

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Section: Equal Capacitancementioning

confidence: 99%

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

et al. 2020

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“…e experimental results show that the scheme is effective. A modified generalized likelihood ratio (GLR) algorithm is proposed to detect and estimate the sensor deception attacks based on the distributed Kalman filter [12]. e effectiveness of the proposed algorithm is verified by simulations.…”

Section: Introductionmentioning

confidence: 99%

Single-Vehicle Transportation Security System of Radioactive Materials Based on Group Relationship to Prevent Loss and Theft

Zeng

Yang

Wan

et al. 2021

Science and Technology of Nuclear Installations

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For loss and theft in the transport of radioactive materials by a single vehicle, this article summarizes the characteristics of “illegal movement” and establishes a security system that senses its inter-relationship and responds though the group network relationship. The security system reminds the vehicle crew through on-site response and linkage response. A failure detection method for on-site response is proposed, that is, the push model is used first, and when the measurement results are suspected, the pull model is used to further confirm the failure. The failure detection for linkage response adopts the push model. According to the different security requirements of the basic and enhanced transportation, the principle of setting the timeout threshold in the failure detection algorithm is proposed. In the enhanced type, the value is smaller, otherwise the value is larger. A specific timeout threshold quantification scheme is proposed. Experiments show that the method proposed in this article is effective.

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“…To detect the inside attack, platoon members need to distinguish the true/false information written in received messages. Several studies have proposed detection methods using various techniques such as set-membership filtering, Kalman filter, and sliding mode control [14]- [16]. Nevertheless, it remains challenging to develop efficient detection methods, considering the complicated factors such as time delay of messages and engine actuation lag.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Detecting Malicious Information Attacks for Platoon Safety

Son

2021

IEEE Access

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Malicious attacks reduce the benefits of cooperative adaptive cruise control (CACC) such as safety, driving convenience, traffic flow, and fuel efficiency, by destabilizing the stability. To reinforce the resiliency of a CACC based platoon of connected and automated vehicles (CAVs), this work investigates a detection method for malicious information attacks in the platoon. In this work, we propose an attack detection method, called LMID (long short-term memory (LSTM) based malicious information detection). We consider two attack models: correlated attacks and non-correlated attacks. In our attack scenarios, one of the platoon members attacks the platoon using the attack models. Using PLEXE, a well-known platoon simulator, we develop a simulation framework to implement attack scenarios and evaluate the proposed detection method. LMID is trained depending on the length of input data and analyzed under various scenarios regarding platoon trajectories, attack types, and an emergency brake case. We have shown that without fast detection of such attacks, crashes may happen within a platoon. The simulation results demonstrate that LMID detects the malicious information attacks with higher than 96% accuracy and the attacks are detected very quickly. The performance evaluation indicates the superiority of the proposed detection method under various circumstances.

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Distributed Deception Attack Detection in Platoon-Based Connected Vehicle Systems

Cited by 98 publications

References 39 publications

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

A Novel Cascaded Multilevel Converter Topology Based on Three-Phase Cells—CHB-SDC

Single-Vehicle Transportation Security System of Radioactive Materials Based on Group Relationship to Prevent Loss and Theft

An Approach to Detecting Malicious Information Attacks for Platoon Safety

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