Data Integrity Attacks Against Dynamic Route Guidance in Transportation-Based Cyber-Physical Systems: Modeling, Analysis, and Defense

Lin, Jie; Yu, Wei; Zhang, Nan; Yang, Xinyu; Ge, Linqiang

doi:10.1109/tvt.2018.2845744

Cited by 53 publications

(19 citation statements)

References 34 publications

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“…Sabaliauskaite et al [22] implemented three stealth attacks on the Amiobobot robot: surge, offset, and geometric attacks, which broke the integrity of the system data. Destroying the state data measured or generated by the robot produces a data integrity attack, which can cause mispredictions in the operation or planning, and lead to reduce planning efficiency and security incidents [23]. Bonaci et al [24] studied the impact of data integrity and recovery tasks on attacked robots and pointed out that the current robot system data is not strictly protected.…”

Section: B System Datamentioning

confidence: 99%

Data Logic Attack on Heavy-Duty Industrial Manipulators

Xie

Hao

et al. 2020

IEEE Access

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The anticipated widespread use of the heavy-duty industrial manipulator (HDIM) makes it an important role in the field of modern industrial automation. Research on the attack of cyber-physical systems based on industrial manipulator vulnerabilities is booming, while there are few studies on the data logic and attack impact for HDIMs. This paper proposes a new cyber-physical attack mechanism named data logic attack mechanism on HDIMs, including network protocol data logic attack, system data integrity logic attack, and process logic attack. Meanwhile, data logic attack models for HDIMs and an attack impact analysis model are established. Besides, for the proposed data logic attack mechanism, a hardware-in-theloop cosimulation based on Simulink and Adams is carried out to demonstrate the impact of data logic attacks on the system integrity, availability, accuracy, and integrity. A test platform has also been established to test the attack mechanism's effectiveness. The results of cosimulation and test show the attack impact ranking and effectiveness of the attack mechanism. INDEX TERMS Industrial manipulator, data logic attack, impact analysis model, cosimulation.

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Section: B System Datamentioning

confidence: 99%

Data Logic Attack on Heavy-Duty Industrial Manipulators

Xie

Hao

et al. 2020

IEEE Access

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“…The routing scheme is energy efficient and can keep the network with a high lifetime. 40,[51][52][53][54][55] In WSNs, the energy consumption of sensor nodes mainly has the following parts: 56 (a) energy consumed due to transmitting data; (b) energy consumed due to receiving data; (c) energy consumed due to idle waiting; (d) energy consumed due to keeping sleep. According to research, up to 70% of the energy consumed in WSNs is used for data operations, of which data sending and receiving consumes the most energy.…”

Section: Related Workmentioning

confidence: 99%

“…There is a much higher loss ratio in wireless communication than in wired communication. 37,40,44 In addition, there may be attacks in WSNs, 51,52 where malicious nodes interfere with data transmission and damage the reliability of data transmission. Therefore, security is also a problem worthy of attention.…”

Section: Related Workmentioning

confidence: 99%

Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

Xiang

Liu

et al. 2019

International Journal of Distributed Sensor Networks

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Wireless sensor networks are the foundation of cyber physical systems. In loss and delay sensitive wireless sensor networks, there is much room for improving the performance of opportunistic routing scheme. In this article, an adaptive duty cycle control-based opportunistic routing scheme was put forward to improve the performance of the opportunistic routing scheme. Our main work is as follows: (a) the proposed duty cycle control-based opportunistic routing scheme implements the opportunistic routing in the duty cycle-based wireless sensor networks. Compared with the opportunistic routing scheme in the non-duty cycle mode, the duty cycle control-based opportunistic routing scheme can effectively reduce the energy consumption by 55.64%, although the performance in the delay is degraded. (b) Next, adaptive duty cycle control-based opportunistic routing scheme is proposed to reduce the delay of nodes in duty cycle control-based opportunistic routing. In adaptive duty cycle control-based opportunistic routing scheme, the node's duty cycle is increased in the area where the energy has remaining, so that the network delay can be reduced without reducing the network lifetime. Compared with duty cycle control-based opportunistic routing scheme, the maximum end-toend delay of the node in the network can be reduced by 69.83%.

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“…Although the wireless connectivity provided by the ITS improves safety and traffic management, security attacks could negatively impact the performance of various applications [14]. Thus, the privacy and security of data shared among the different components of ITS is an important technical task [13], [15].…”

Section: Introductionmentioning

confidence: 99%

“…Of the many security challenges faced by the ITS, reliability of data shared among ITS components is a vital challenge [20], [21]. ITS applications are subject to data integrity attacks where malicious vehicles can transmit wrong information regarding surrounding vehicle density and emergency events [4], [14], [22]. This could badly impact safety applications as well as traffic management applications, resulting in wrong decision making by the applications.…”

Section: Introductionmentioning

confidence: 99%

ODPV: An Efficient Protocol to Mitigate Data Integrity Attacks in Intelligent Transport Systems

et al. 2020

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Intelligent Transport Systems (ITS) require accurate information to be shared among vehicles and infrastructure nodes for applications including accident information or pre-crash warnings, to name a few. Due to its sensitive nature, ITS applications are vulnerable against data integrity attacks where nodes transmit false information that results in wrong decision making by the applications. A characteristic of such attacks is that the false transmitted information is significantly different than the actual information. In this paper, we propose an Outlier Detection, Prioritization and Verification (ODPV) protocol that efficiently isolates false data and improves traffic management decisions. ODPV uses the isolation forest algorithm to detect outliers, fuzzy logic to prioritize outliers and C-V2X communications to verify the outliers. Extensive simulation results verify the effectiveness of the proposed protocol to isolate the outliers.

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Data Integrity Attacks Against Dynamic Route Guidance in Transportation-Based Cyber-Physical Systems: Modeling, Analysis, and Defense

Cited by 53 publications

References 34 publications

Data Logic Attack on Heavy-Duty Industrial Manipulators

Data Logic Attack on Heavy-Duty Industrial Manipulators

Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

ODPV: An Efficient Protocol to Mitigate Data Integrity Attacks in Intelligent Transport Systems

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