The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
TRM-IoT: A trust management model based on fuzzy reputation for internet of things
Open accessAbstract
Since a large scale Wireless Sensor Network (WSN) is to be completely integrated into Internet as a core part of Internet of Things (IoT) or Cyber Physical System (CPS), it is necessary to consider various security challenges that come with IoT/CPS, such as the detection of malicious attacks. Sensors or sensor embedded things may establish direct communication between each other using 6LoWPAN protocol. A trust and reputation model is recognized as an important approach to defend a large distributed sensor networks in IoT/CPS against malicious node attacks, since trust establishment mechanisms can stimulate collaboration among distributed computing and communication entities, facilitate the detection of untrustworthy entities, and assist decision-making process of various protocols. In this paper, based on in-depth understanding of trust establishment process and quantitative comparison among trust establishment methods, we present a trust and reputation model TRM-IoT to enforce the cooperation between things in a network of IoT/CPS based on their behaviors. The accuracy, robustness and lightness of the proposed model is validated through a wide set of simulations.
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The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Ad hoc On-Demand Distance Vector (AODV) Routing
Perkins, C., Belding-Royer, E., & Das, S. (2003) · doi:10.17487/rfc3561 · Cited by 10,686
A key-management scheme for distributed sensor networks
Eschenauer, L., & Gligor, V. D. (2002) · Proceedings of the 9th ACM conference on Computer and communications security · doi:10.1145/586110.586117 · Cited by 3,541
A survey of trust and reputation systems for online service provision
Jøsang, A., Ismail, R., & Boyd, C. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.019 · Cited by 3,330
Gambetta, D. (2000) · Cited by 1,567
Performance analysis of the CONFIDANT protocol
Buchegger, S., & Le Boudec, J.-Y. (2002) · Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing · doi:10.1145/513800.513828 · Cited by 1,495
Sprite: a simple, cheat-proof, credit-based system for mobile ad-hoc networks
Zhong, S., Chen, J., & Yang, Y. R. (2004) · IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428) · doi:10.1109/infcom.2003.1209220 · Cited by 1,219
Stimulating Cooperation in Self-Organizing Mobile Ad Hoc Networks
Buttyán, L., & Hubaux, J.-P. (2003) · Mobile Networks and Applications · doi:10.1023/a:1025146013151 · Cited by 1,068
Establishing pairwise keys in distributed sensor networks
Liu, D., Ning, P., & Li, R. (2005) · ACM Transactions on Information and System Security · doi:10.1145/1053283.1053287 · Cited by 812
Communications in Computer and Information Science
Белов, В. Д., Burkatovskaya, Y., Петрович, К. Н., & Shamanaeva, L. G. (2014) · Cited by 706
Cited by
A survey on trust management for Internet of Things
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2014.01.014 · Cited by 1,155
Survey on blockchain for Internet of Things
Wang, X., Zha, X., Ni, W., Liu, R. P., Guo, Y. J., Niu, X., & Zheng, K. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.01.006 · Cited by 567
Self-citationInternet of Things: Security vulnerabilities and challenges
Andrea, I., Chrysostomou, C., & Hadjichristofi, G. (2015) · 2015 IEEE Symposium on Computers and Communication (ISCC) · doi:10.1109/iscc.2015.7405513 · Cited by 520
Trustworthiness Management in the Social Internet of Things
Nitti, M., Girau, R., & Atzori, L. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.105 · Cited by 508
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Metadata
- Authors
- Chen, D., Chang, G., Sun, D., Li, J., Jia, J., & Wang, X.
- Venue
- Computer Science and Information Systems
- Publisher
- National Library of Serbia
- Published
- 2011
- Volume
- 8
- Issue
- 4
- Pages
- 1207-1228
- ISSN
- 1820-0214 (ISSN-L)
- 2406-1018
- OpenAlex
- W2082778186
- Cited by
- 349
- References
- 21
- FWCI
- 25.72
- Type
- journal article
- Language
- en
- Open access
- diamond
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