research-article

A Trust Computing-based Security Routing Scheme for Cyber Physical Systems

Authors:

Fang LiuAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 10, Issue 6

Article No.: 61, Pages 1 - 27

https://doi.org/10.1145/3321694

Published: 13 November 2019 Publication History

Abstract

Security is a pivotal issue for the development of Cyber Physical Systems (CPS). The trusted computing of CPS includes the complete protection mechanisms, such as hardware, firmware, and software, the combination of which is responsible for enforcing a system security policy. A Trust Detection-based Secured Routing (TDSR) scheme is proposed to establish security routes from source nodes to the data center under malicious environment to ensure network security. In the TDSR scheme, sensor nodes in the routing path send detection routing to identify relay nodes’ trust. And then, data packets are routed through trustworthy nodes to sink securely. In the TDSR scheme, the detection routing is executed in those nodes that have abundant energy; thus, the network lifetime cannot be affected. Performance evaluation through simulation is carried out for success of routing ratio, compromised node detection ratio, and detection routing overhead. The experiment results show that the performance can be improved in the TDSR scheme compared to previous schemes.

References

[1]

Ghada H. Badawy, Amir A. Sayegh, and Terence D. Todd. 2010. Energy provisioning in solar-powered wireless mesh networks. IEEE Trans. Vehic. Technol. 59, 8 (2010), 3859--3871.

[2]

Juan Cota-Ruiz, Pablo Rivas-Perea, Ernesto Sifuentes, and Rafael Gonzalez-Landaeta. 2016. A recursive shortest path routing algorithm with application for wireless sensor network localization. IEEE Sens. J. 16, 11 (2016), 4631--4637.

[3]

Alcaraz Cristina, Xinyi Huang, and Erich Rome. 2018. Security and privacy in cloud-assisted cyber-physical systems. Computer Networks 138 (2018), 13--14.

[4]

Mianxiong Dong, Kaoru Ota, Laurence T. Yang, Anfeng Liu, and Minyi Guo. 2016. LSCD: A low storage clone detecting protocol for cyber-physical systems. IEEE Trans. Comput.-Aided Design Integr. Circ. Syst. 35, 5 (2016), 712--723.

Digital Library

[5]

Béla Genge, Piroska Haller, and Adrian-Vasile Duka. 2019. Engineering security-aware control applications for data authentication in smart industrial cyber--physical systems. Future Gen. Comput. Syst. 91 (2019), 206--222.

Digital Library

[6]

Wenbo He, Xue Liu, Hoang Nguyen, Klara Nahrstedt, and Tarek Abdelzaher. 2007. PDA: Privacy-preserving data aggregation in wireless sensor networks. In Proceedings of the 26th IEEE International Conference on Computer Communications (INFOCOM’07). 2045--2053.

Digital Library

[7]

Ron Hirschprung, Eran Toch, Hadas Schwartz-Chassidim, Tamir Mendel, and Oded Maimon. 2017. Analyzing and optimizing access control choice architectures in online social networks. ACM Trans. Intell. Syst. Technol. 8, 4 (2017), 57.

Digital Library

[8]

Mingfeng Huang, Anfeng Liu, Nealxue Xiong, Tian Wang, and Athanasios. V. Vasilakos. 2019. A low-latency communication scheme for mobile wireless sensor control systems. IEEE Trans. Syst. Man Cybernet.-Syst. 49, 2 (2019), 317--332.

[9]

Xin Ju, Wei Liu, Chengyuan Zhang, Anfeng Liu, Tian Wang, Neal N. Xiong, and Zhiping Cai. 2018. An energy conserving and transmission radius adaptive scheme to optimize performance of energy harvesting sensor networks. Sensors 18, 9 (2018), 2885.

[10]

Zhetao Li, Yuxin Liu, Anfeng Liu, Shiguo Wang, and Haolin Liu. 2018. Minimizing convergecast time and energy consumption in green internet of things. IEEE Trans. Emerg. Top. Comput. In Press.

[11]

Anfeng Liu, Xiao Liu, and Jun Long. 2016. A trust-based adaptive probability marking and storage traceback scheme for WSNs. Sensors 16, 4 (2016), 451.

[12]

Anfeng Liu, Zhongming Zheng, Chao Zhang, Zhigang Chen, and Xuemin (Sherman) Shen. 2012. Secure and energy-efficient disjoint multi-path routing for WSNs. IEEE Trans. Vehic. Technol. 61, 7 (2012), 3255--3265.

[13]

Xiao Liu, Mianxiong Dong, Kaoru Ota, Laurence T. Yang, and Anfeng Liu. 2018a. Trace malicious source to guarantee cyber security for mass monitor critical infrastructure. J. Comput. Syst. Sci. 98 (2018), 1--26.

[14]

Xiao Liu, Yuxin Liu, Anfeng Liu, and Laurence T. Yang. 2018. Defending on-off attacks using light probing messages in smart sensors for industrial communication systems. IEEE Trans. Industr. Informat. 14, 9 (2018), 3801--3811.

[15]

Xiao Liu, Mianxiong Dong, Kaoru Ota, Patrick Hung, and Anfeng Liu. 2016. Service pricing decision in cyber-physical systems: Insights from game theory. IEEE Trans. Serv. Comput. 9, 2 (2016), 186--198.

Digital Library

[16]

Yuxin Liu, Ming Ma, Xiao Liu, Naixue Xiong, Anfeng Liu, and Ying Zhu. 2018. Design and analysis of probing route to defense sink-hole attacks for internet of things security. IEEE Trans. Netw. Sci. Eng. In Press.

[17]

Yuxin Liu, Mianxiong Dong, Kaoru Ota, and Anfeng Liu. 2016. ActiveTrust: Secure and trustable routing in wireless sensor networks. IEEE Trans. Info. Forens. Secur. 11, 9 (2016), 2013--2027.

Digital Library

[18]

Yuxin Liu, Anfeng Liu, and Sheng He. 2015. A novel joint logging and migrating traceback scheme for achieving low storage requirement and long lifetime in WSNs. AEU-International J. Electron. Commun. 69, 10 (2015), 1434--8411.

[19]

Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, and Naren Ramakrishnan. 2018. illiad: InteLLigent invariant and anomaly detection in cyber-physical systems. ACM Trans. Intell. Syst. Technol. 9, 3 (2018), 35.

Digital Library

[20]

Hamed Orojloo and Mohammad Abdollahi Azgomi. 2018. A stochastic game model for evaluating the impacts of security attacks against cyber-physical systems. J. Netw. Syst. Manage. 26, 4 (2018), 929--965.

Digital Library

[21]

Zhou Su, Yuntao Wang, Qichao Xu, Minrui Fei, Yu-Chu Tian, and Ning Zhang. 2018. A secure charging scheme for electric vehicles with smart communities in energy blockchain. IEEE Internet Things J.

[22]

Tao Shu, Marwan Krunz, and Sisi Liu. 2010. Secure data collection in wireless sensor networks using randomized dispersive routes. IEEE Trans. Mobile Comput. 9, 7 (2010), 941--954.

Digital Library

[23]

Jiawei Tan, Wei Liu, Mande Xie, Houbing Song, Anfeng Liu, Ming Zhao, and Guoping Zhang. 2019. A low redundancy data collection scheme to maximize lifetime using matrix completion technique. EURASIP J. Wireless Commun. Netw. 5 (2019).

[24]

Jiawei Tang, Anfeng Liu, Jian Zhang, Zhiwen Zeng, Neal N. Xiong, and Tian Wang. 2018. A security routing scheme using traceback approach for energy harvesting sensor networks. Sensors 18, 3 (2018), 751.

[25]

Tian Wang, Yang Li, Yonghong Chen, Hui Tian, Yiqiao Cai, Weijia Jia, and Baowei Wang. 2017. Fog-based evaluation approach for trustworthy communication in sensor-cloud system. IEEE Commun. Lett. 21, 11 (2017), 2532--2535.

[26]

OMNET++ simulator. 2016. Retrieved from http://www.omnetpp.org/.

Cited By

Meng W(2025)Trust Management for Cyber-Physical SystemsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_1733(2655-2661)Online publication date: 8-Jan-2025
https://doi.org/10.1007/978-3-030-71522-9_1733
Jiang ZZhong XChen FYan SJi F(2024)Directional Antenna-Based Routing Protocol With Low Detection Probability in Airborne NetworksIEEE Sensors Journal10.1109/JSEN.2023.334932524:5(6919-6929)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JSEN.2023.3349325
Catania GDecelle ASeoane B(2024)Copycat perceptron: Smashing barriers through collective learningPhysical Review E10.1103/PhysRevE.109.065313109:6Online publication date: 28-Jun-2024
https://doi.org/10.1103/PhysRevE.109.065313
Show More Cited By

Index Terms

A Trust Computing-based Security Routing Scheme for Cyber Physical Systems
1. Security and privacy

Recommendations

Location-aided secure routing scheme in mobile ad hoc networks
ICCSA'07: Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II

This paper proposes a new routing scheme that uses geographical position information to minimize the number of intermediate nodes that make a routing path, and to guarantee reliability and security in route establishment process. To achieve this purpose,...
Security Objectives of Cyber Physical Systems
SECTECH '14: Proceedings of the 2014 7th International Conference on Security Technology

Today, cyber physical systems (CPS) are ubiquitous in power networks, healthcare devices, transportation networks, industrial process and infrastructures. Security of cyber physical systems has become the utmost important concern in system design, ...
Blockchain-based cyber-physical systems security autonomous routing scheme
UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion

Improving the quality of service (QoS) and quality of experience (QoE) for users of cyber-physical systems (CPS) is the key to the widespread promotion and deployment of this technology. Network latency is an important factor affecting users' network ...

Comments

comments powered by Disqus.

Information & Contributors

Information

Published In

ACM Transactions on Intelligent Systems and Technology Volume 10, Issue 6

Special Section on Intelligent Edge Computing for Cyber Physical and Cloud Systems and Regular Papers

November 2019

267 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3368406

Editor:
Yu Zheng
JD Finance, China

Issue’s Table of Contents

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2019

Accepted: 01 March 2019

Revised: 01 February 2019

Received: 01 December 2018

Published in TIST Volume 10, Issue 6

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Funding Sources

National Natural Science Foundation of China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

30
Total Citations
View Citations
284
Total Downloads

Downloads (Last 12 months)19
Downloads (Last 6 weeks)2

Reflects downloads up to 22 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Meng W(2025)Trust Management for Cyber-Physical SystemsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-030-71522-9_1733(2655-2661)Online publication date: 8-Jan-2025
https://doi.org/10.1007/978-3-030-71522-9_1733
Jiang ZZhong XChen FYan SJi F(2024)Directional Antenna-Based Routing Protocol With Low Detection Probability in Airborne NetworksIEEE Sensors Journal10.1109/JSEN.2023.334932524:5(6919-6929)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JSEN.2023.3349325
Catania GDecelle ASeoane B(2024)Copycat perceptron: Smashing barriers through collective learningPhysical Review E10.1103/PhysRevE.109.065313109:6Online publication date: 28-Jun-2024
https://doi.org/10.1103/PhysRevE.109.065313
Kayan HNunes MRana OBurnap PPerera C(2022)Cybersecurity of Industrial Cyber-Physical Systems: A ReviewACM Computing Surveys10.1145/351041054:11s(1-35)Online publication date: 9-Sep-2022
https://dl.acm.org/doi/10.1145/3510410
Chen MWang TOta KDong MZhao MLiu A(2022)Intelligent resource allocation management for vehicles networkComputer Communications10.1016/j.comcom.2019.12.054151:C(485-494)Online publication date: 22-Apr-2022
https://dl.acm.org/doi/10.1016/j.comcom.2019.12.054
Meng W(2022)Trust Management for Cyber-Physical SystemsEncyclopedia of Cryptography, Security and Privacy10.1007/978-3-642-27739-9_1733-2(1-7)Online publication date: 21-Oct-2022
https://doi.org/10.1007/978-3-642-27739-9_1733-2
Huang SLiu AZhang SWang TXiong N(2021)BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network SystemsIEEE Transactions on Network Science and Engineering10.1109/TNSE.2020.30144558:3(2087-2105)Online publication date: 1-Jul-2021
https://doi.org/10.1109/TNSE.2020.3014455
Xu XMo RYin XKhosravi MAghaei FChang VLi G(2021)PDM: Privacy-Aware Deployment of Machine-Learning Applications for Industrial Cyber–Physical Cloud SystemsIEEE Transactions on Industrial Informatics10.1109/TII.2020.303144017:8(5819-5828)Online publication date: Aug-2021
https://doi.org/10.1109/TII.2020.3031440
Shen MLiu AHuang GXiong NLu H(2021)ATTDC: An Active and Traceable Trust Data Collection Scheme for Industrial Security in Smart CitiesIEEE Internet of Things Journal10.1109/JIOT.2021.30491738:8(6437-6453)Online publication date: 15-Apr-2021
https://doi.org/10.1109/JIOT.2021.3049173
Li FHuang GYang QXie M(2021)Adaptive Contention Window MAC Protocol in a Global View for Emerging Trends NetworksIEEE Access10.1109/ACCESS.2021.30540159(18402-18423)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3054015
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Issue’s Table of Contents

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.

Alternative Proxies:

Alternative Proxy