Cited By
View all- Basan EBasan ANekrasov A(2019)Method for Detecting Abnormal Activity in a Group of Mobile RobotsSensors10.3390/s1918400719:18(4007)Online publication date: 17-Sep-2019
Development of the Anomaly Detection Method for a Group of Mobile Robots
Article No.: 20, Pages 1 - 4
Abstract
This article studied the attacks that can be implemented in a network of mobile robots. The peculiarity of these attacks is that they, as a rule, use the vulnerabilities of wireless data transmission and the weakness of network protocols. The study was carried out using a simulation model of a group of mobile robots. It was modeled following attacks: denial of service, Black-Hole, Gray-Hole. In this case, it was analyzed the impact of the attacks on the energy consumption and the impact on network traffic. It was assessed the complexity of the implementation of various types of attacks. This analysis should make it clear with what intensity the attack should be conducted in order to damage the network. Also in this study, a method is proposed for calculating the trust of network nodes and the entire network as a whole based on the number of discarded packets.
References
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A.S. Basan, E.S. Basan. The threat model for the systems of group management of mobile robots. Proceedings of the VIII Scientific Conference System Synthesis and Applied Synergetics. South Federal University. September 2017. pp. 205--212.
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E. Schoch, M. Feiri, F. Kargl, M. Weber. Simulation of Ad Hoc Networks: ns-2 compared to JiST/SWANS SIMUTools. First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems. 2008. pp. 34--41
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A. Basan, E. Basan, O. Makarevich. A Trust Evaluation Method for Active Attack Counteraction in Wireless Sensor Networks. Proceedings of 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. 2017. pp. 369--372.
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G. Lenzini, M.S. Barghand, B. Hulsebosch, Trust-enhanced security in location-based adaptive authentication, Electronic Notes in Theoretical Computer Science, no. 197, pp. 105--119, 2008.
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Renjian Feng, Xiaona Han, Qiang Liu, and Ning Yu. A Credible Bayesian-Based Trust Management Scheme for Wireless Sensor Networks // Hindawi Publishing Corporation International Journal of Distributed Sensor Networks. C. 1--9
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Ganeriwal, L. K. Balzano, and M. B. Srivastava. Reputationbased framework for high integrity sensor networks // ACM Trans. Sen. Netw., vol.4, no. 3, 2008. C. 1--37.
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G. Theodorakopoulos and J.S. Baras, Trust evaluation in ad-hoc networks, in The 3rd ACM workshop on Wireless security, WiSe'04, pp.1--10, 2004.
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K. Chadha, S. Jain. Impact of black hole and gray hole attack in AODV protocol. Recent Advances and Innovations in Engineering (ICRAIE), 2014 pp. 1--7.
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Index Terms
- Development of the Anomaly Detection Method for a Group of Mobile Robots
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Information & Contributors
Information
Published In
September 2018
148 pages
ISBN:9781450366083
DOI:10.1145/3264437
- Conference Chairs:
- Pete Burnap,
- Atilla Elçi,
- Omer Rana,
- Program Chairs:
- Philipp Reinecke,
- Naghmeh Moradpoor,
- George Theodorakopoulos,
- Koray Karabina
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In-Cooperation
- Cardiff University: Cardiff University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 September 2018
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- Short-paper
- Research
- Refereed limited
Funding Sources
- the Ministry of Education and Science of Russian Federation
Conference
SIN '18
SIN '18: 11th International Conference On Security Of Information and Networks
September 10 - 12, 2018
Cardiff, United Kingdom
Acceptance Rates
SIN '18 Paper Acceptance Rate 24 of 42 submissions, 57%;
Overall Acceptance Rate 102 of 289 submissions, 35%
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View all- Basan EBasan ANekrasov A(2019)Method for Detecting Abnormal Activity in a Group of Mobile RobotsSensors10.3390/s1918400719:18(4007)Online publication date: 17-Sep-2019
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