Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads

Xu, Yuan; Zhang, Tianwei; Han, Jimin; Wang, Sa; Bao, Yungang

doi:10.1109/ipdps49936.2021.00083

Cited by 3 publications

(3 citation statements)

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“…The five functions (A1 -A5) are the main targets for the adversary to compromise the RV system. We define the action flow as a complete flow from one sensor to a final control function 1 . Then we hypothesize that each action flow could give rise to some sensor spoofing vectors, where the adversary can tamper with the corresponding sensor data to affect RV's final actions.…”

Section: A Action Flow Modelmentioning

confidence: 99%

“…They can be further extended in the following ways. (1) We can optimize the attack designs. For instance, for the obstacle position altering attack, we can test more common objects to generate the fake points.…”

Section: More Evaluationsmentioning

confidence: 99%

“…To accomplish these complex missions, an RV system commonly integrates dozens of functions to manage the physical components (i.e., sensors and actuators) and interact with the surrounding environments. These functions are constructed as a closed-loop pipeline with various stages [1]: (1) processing sensor data to estimate the states (perception);…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View

Xu¹,

Han²,

Deng³

et al. 2022

Preprint

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Robotic Vehicles (RVs) have gained great popularity over the past few years. Meanwhile, they are also demonstrated to be vulnerable to sensor spoofing attacks. Although a wealth of research works have presented various attacks, some key questions remain unanswered: are these existing works complete enough to cover all the sensor spoofing threats? If not, how many attacks are not explored, and how difficult is it to realize them?This paper answers the above questions by comprehensively systematizing the knowledge of sensor spoofing attacks against RVs. Our contributions are threefold. (1) We identify seven common attack paths in an RV system pipeline. We categorize and assess existing spoofing attacks from the perspectives of spoofer property, operation, victim characteristic and attack goal. Based on this systematization, we identify 4 interesting insights about spoofing attack designs. (2) We propose a novel action flow model to systematically describe robotic function executions and sensor spoofing vulnerabilities. With this model, we successfully discover 104 spoofing attack vectors, 25 of which have been verified by prior works, while 55 attacks are practical but never considered. (3) We design two novel attack methodologies to verify the feasibility of newly discovered spoofing attack vectors.

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Section: A Action Flow Modelmentioning

confidence: 99%

Section: More Evaluationsmentioning

confidence: 99%