Novel denial-of-service attacks against cloud-based multi-robot systems
The development of robotics technology is accelerated by the strong support from cloud computing. Massive computation resources and services from the cloud make modern multi-robot systems more efficient and powerful. However, the introduction of cloud servers to multi-robot systems can also incur po...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/159509 |
| _version_ | 1824455920011182080 |
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| author | Xu, Yuan Deng, Gelei Zhang, Tianwei Qiu, Han Bao, Yungang |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Xu, Yuan Deng, Gelei Zhang, Tianwei Qiu, Han Bao, Yungang |
| author_sort | Xu, Yuan |
| collection | NTU |
| description | The development of robotics technology is accelerated by the strong support from cloud computing. Massive computation resources and services from the cloud make modern multi-robot systems more efficient and powerful. However, the introduction of cloud servers to multi-robot systems can also incur potential Denial-of-Service (DoS) threats, where an adversary can utilize the shared cloud resources to degrade or bring down the robot systems. In this paper, we conduct a comprehensive study about this security issue. By analyzing different attack vectors in cloud-robotic platforms, we propose three new DoS attacks, which manipulate the network resources, micro-architecture resources, and function parameters respectively. We conduct extensive evaluations and case studies to demonstrate the feasibility and severity of our techniques. We alert the robotics community to these catastrophic attacks on the safety and performance of cloud-robotic systems, and encourage building better defenses for higher reliability, in addition to automation and intelligence. |
| first_indexed | 2025-02-19T03:45:52Z |
| format | Journal Article |
| id | ntu-10356/159509 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:45:52Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1595092022-06-24T06:18:07Z Novel denial-of-service attacks against cloud-based multi-robot systems Xu, Yuan Deng, Gelei Zhang, Tianwei Qiu, Han Bao, Yungang School of Computer Science and Engineering Engineering::Computer science and engineering Multi-Robot Systems Cloud-Robotics The development of robotics technology is accelerated by the strong support from cloud computing. Massive computation resources and services from the cloud make modern multi-robot systems more efficient and powerful. However, the introduction of cloud servers to multi-robot systems can also incur potential Denial-of-Service (DoS) threats, where an adversary can utilize the shared cloud resources to degrade or bring down the robot systems. In this paper, we conduct a comprehensive study about this security issue. By analyzing different attack vectors in cloud-robotic platforms, we propose three new DoS attacks, which manipulate the network resources, micro-architecture resources, and function parameters respectively. We conduct extensive evaluations and case studies to demonstrate the feasibility and severity of our techniques. We alert the robotics community to these catastrophic attacks on the safety and performance of cloud-robotic systems, and encourage building better defenses for higher reliability, in addition to automation and intelligence. Ministry of Education (MOE) Nanyang Technological University This work was supported in part by Key-Area Research and Development Program of Guangdong Province (NO.2020B010-164003), the National Natural Science Foundation of China (Grant No. 62090020), Youth Innovation Promotion Association of Chinese Academy of Sciences (2013073), and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDC05030200), Singapore MoE AcRF Tier 1 RG108/19 (S) and NTU-Desay Research Program 2018-0980. 2022-06-24T06:18:07Z 2022-06-24T06:18:07Z 2021 Journal Article Xu, Y., Deng, G., Zhang, T., Qiu, H. & Bao, Y. (2021). Novel denial-of-service attacks against cloud-based multi-robot systems. Information Sciences, 576, 329-344. https://dx.doi.org/10.1016/j.ins.2021.06.063 0020-0255 https://hdl.handle.net/10356/159509 10.1016/j.ins.2021.06.063 2-s2.0-85111021157 576 329 344 en RG108/19 (S) 2018-0980 Information Sciences © 2021 Elsevier Inc. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Multi-Robot Systems Cloud-Robotics Xu, Yuan Deng, Gelei Zhang, Tianwei Qiu, Han Bao, Yungang Novel denial-of-service attacks against cloud-based multi-robot systems |
| title | Novel denial-of-service attacks against cloud-based multi-robot systems |
| title_full | Novel denial-of-service attacks against cloud-based multi-robot systems |
| title_fullStr | Novel denial-of-service attacks against cloud-based multi-robot systems |
| title_full_unstemmed | Novel denial-of-service attacks against cloud-based multi-robot systems |
| title_short | Novel denial-of-service attacks against cloud-based multi-robot systems |
| title_sort | novel denial of service attacks against cloud based multi robot systems |
| topic | Engineering::Computer science and engineering Multi-Robot Systems Cloud-Robotics |
| url | https://hdl.handle.net/10356/159509 |
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