Trust Evaluation for Light Weight Security in Sensor Enabled Internet of Things: Game Theory Oriented Approach
Abstract
In sensor-enabled Internet of Things (IoT), nodes are deployed in an open and remote environment, therefore, are vulnerable to a variety of attacks. Recently, trust-based schemes have played a pivotal role in addressing nodes' misbehavior attacks in IoT. However, the existing trust-based schemes apply network wide dissemination of the control packets that consume excessive energy in the quest of trust evaluation, which ultimately weakens the network lifetime. In this context, this paper presents an energy efficient trust evaluation (EETE) scheme that makes use of hierarchical trust evaluation model to alleviate the malicious effects of illegitimate sensor nodes and restricts network wide dissemination of trust requests to reduce the energy consumption in clustered-sensor enabled IoT. The proposed EETE scheme incorporates three dilemma game models to reduce additional needless transmissions while balancing the trust throughout the network. Specially: 1) a cluster formation game that promotes the nodes to be cluster head (CH) or cluster member to avoid the extraneous cluster; 2) an optimal cluster formation dilemma game to affirm the minimum number of trust recommendations for maintaining the balance of the trust in a cluster; and 3) an activity-based trust dilemma game to compute the Nash equilibrium that represents the best strategy for a CH to launch its anomaly detection technique which helps in mitigation of malicious activity. Simulation results show that the proposed EETE scheme outperforms the current trust evaluation schemes in terms of detection rate, energy efficiency and trust evaluation time for clustered-sensor enabled IoT.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Chuan et al. proposed a method for implementing zero trust that described seven evaluation elements of zero trust evaluation.
“In 2020, Chuan T et al. [51] proposed a method for implementing the concept of zero trust, which described seven evaluation elements of zero trust evaluation: required procedures (including weak password detection procedures, website detection procedures, configuration detection procedures, host vulnerability detection programs, brute force protection programs, hardening programs, mandatory access”
From A Survey on Zero Trust Architecture: Challenges and Future Trends (2022) · cites this paper as [51]
Cites
On trust models and trust evaluation metrics for ad hoc networks
Theodorakopoulos, G., & Baras, J. S. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.861390 · Cited by 511 · see citing works
Bao, F., Chen, I.-R., Chang, M., et al. (2012) · IEEE Transactions on Network and Service Management · doi:10.1109/tcomm.2012.031912.110179 · Cited by 453 · see citing works
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Yu, Y., Li, K., Zhou, W., & Li, P. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.03.005 · Cited by 353 · see citing works
LDTS: A Lightweight and Dependable Trust System for Clustered Wireless Sensor Networks
Li, X., Zhou, F., & Du, J. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2240299 · Cited by 223 · see citing works
Trust management systems for wireless sensor networks: Best practices
López, J., Román, R., Agudo, I., et al. (2010) · Computer Communications · doi:10.1016/j.comcom.2010.02.006 · Cited by 222 · see citing works
Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks
Lu, H., Li, J., & Guizani, M. (2013) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2013.43 · Cited by 186 · see citing works
Duan, J., Gao, D., Yang, D., et al. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2314132 · Cited by 185 · see citing works
Feng, R., Xu, X., Zhou, X., et al. (2011) · Sensors · doi:10.3390/s110201345 · Cited by 184 · see citing works
Recommendation Based Trust Model with an Effective Defence Scheme for MANETs
Shabut, A. M., Dahal, K. P., Bista, S. K., et al. (2014) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2014.2374154 · Cited by 147 · see citing works
BTRES: Beta-based Trust and Reputation Evaluation System for wireless sensor networks
Fang, W., Zhang, C., Shi, Z.-D., et al. (2015) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2015.06.013 · Cited by 143 · see citing works
Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things
Kaiwartya, O., Abdullah, A. H., Cao, Y., Lloret, J., Kumar, S., Shah, R. R., Prasad, M., & Prakash, S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2717704 · Cited by 125 · see citing works
Self-citationAn Integrated Intrusion Detection System for Cluster-based Wireless Sensor Networks
Wang, S.-S., Wang, S.-S., Yan, K.-Q., et al. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.05.076 · Cited by 117 · see citing works
TSRF: A Trust-Aware Secure Routing Framework in Wireless Sensor Networks
Duan, J., Yang, D., Zhu, H., et al. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/209436 · Cited by 116 · see citing works
An Accurate Security Game for Low-Resource IoT Devices
Sedjelmaci, H., Senouci, S., & Taleb, T. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2701551 · Cited by 107 · see citing works
TERP: A Trust and Energy Aware Routing Protocol for Wireless Sensor Network
Ahmed, A., Bakar, K. A., Channa, M. I., et al. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2468576 · Cited by 103 · see citing works
A secure and scalable storage system for aggregate data in IoT
Jiang, H., Shen, F., Chen, S., Li, K., & Jeong, Y. (2014) · Future Generation Computer Systems · doi:10.1016/j.future.2014.11.009 · Cited by 92 · see citing works
A game theoretical approach to clustering of ad-hoc and sensor networks
Κολτσίδας, Γ., & Pavlidou, F. (2010) · Telecommunication Systems · doi:10.1007/s11235-010-9303-5 · Cited by 83 · see citing works
Towards green computing for Internet of things: Energy oriented path and message scheduling approach
Farhan, L., Kharel, R., Kaiwartya, O., Hammoudeh, M. A. A., & Adebisi, B. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.12.018 · Cited by 83 · see citing works
Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs
Zhou, P., Jiang, S., Irissappane, A. A., et al. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2389145 · Cited by 68 · see citing works
Tang, J., Zhou, Z., Niu, J., & Wang, Q. (2013) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2013.07.009 · Cited by 65 · see citing works
A Formal Study of Trust-Based Routing in Wireless Ad Hoc Networks
Zhang, C., Zhu, X., Song, Y., et al. (2010) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2010.5462116 · Cited by 65 · see citing works
Communication and Data Trust for Wireless Sensor Networks Using D–S Theory
Reddy, V. B., Venkataraman, S., & Negi, A. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2699561 · Cited by 62 · see citing works
Trust Model of Wireless Sensor Networks and Its Application in Data Fusion
Chen, Z., Tian, L., & Lin, C. (2017) · Sensors · doi:10.3390/s17040703 · Cited by 61 · see citing works
Xu, L., O’Hare, G. M. P., & Collier, R. (2017) · Sensors · doi:10.3390/s17071574 · Cited by 57 · see citing works
Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities
Kumar, K., Kumar, S., Kaiwartya, O., Cao, Y., Lloret, J., & Aslam, N. (2017) · Energies · doi:10.3390/en10122073 · Cited by 53 · see citing works
Self-citationYan, K. Q., Wang, S. C., Wang, S.-T., et al. (2010) · doi:10.1109/iccsit.2010.5563886 · Cited by 52 · see citing works
Green computing for wireless sensor networks: Optimization and Huffman coding approach
Aanchal, A., Kumar, S., Kaiwartya, O., et al. (2016) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-016-0511-y · Cited by 52 · see citing works
Self-citationAn Efficient Trust Evaluation Scheme for Node Behavior Detection in the Internet of Things
Yu, Y., Jia, Z., Tao, W., et al. (2016) · Wireless Personal Communications · doi:10.1007/s11277-016-3802-y · Cited by 49 · see citing works
Cybersecurity Measures for Geocasting in Vehicular Cyber Physical System Environments
Kumar, S., Dohare, U., Kumar, K., et al. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2872474 · Cited by 49 · see citing works
Self-citationSheet, D. K., Kaiwartya, O., Abdullah, A. H., Cao, Y., Hassan, A. N., & Kumar, S. (2016) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2015.0228 · Cited by 44 · see citing works
Self-citationA Trust Model Based on Similarity-Weighted Recommendation for P2P Environments
Li, J. (2007) · Journal of Software · doi:10.1360/jos180157 · Cited by 44 · see citing works
Kamhoua, C., Pissinou, N., & Makki, K. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5962511 · Cited by 43 · see citing works
A new data aggregation scheme via adaptive compression for wireless sensor networks
Kasirajan, P., Larsen, C., & Jagannathan, S. (2012) · ACM Transactions on Sensor Networks · doi:10.1145/2379799.2379804 · Cited by 30 · see citing works
A standard compliant security framework for IEEE 802.15.4 networks
Piro, G., Boggia, G., & Grieco, L. A. (2014) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2014.6803111 · Cited by 29 · see citing works
Energy Balanced Model for Lifetime Maximization in Randomly Distributed Wireless Sensor Networks
Dohare, U., Lobiyal, D. K., & Kumar, S. (2014) · Wireless Personal Communications · doi:10.1007/s11277-014-1759-2 · Cited by 25 · see citing works
Self-citationAdaptive and dual data-communication trust scheme for clustered wireless sensor networks
Talbi, S., Koudil, M., Bouabdallah, A., et al. (2016) · Telecommunication Systems · doi:10.1007/s11235-016-0254-3 · Cited by 20 · see citing works
Self-adaptive trust management based on game theory in fuzzy large-scale networks
Fang, H., Xu, L., & Huang, X. (2015) · Soft Computing · doi:10.1007/s00500-015-1821-3 · Cited by 15 · see citing works
A security framework for Cluster-based Wireless Sensor Networks against the selfishness problem
Ishaq, Z., Park, S.-J., & Yoo, Y. (2015) · International Conference on Ubiquitous and Future Networks · doi:10.1109/icufn.2015.7182485 · Cited by 13 · see citing works
Isolating Misbehaving Nodes in MANETs with an Adaptive Trust Threshold Strategy
Khan, M. S., Khan, M. S., Midi, D., et al. (2017) · Mobile Networks and Applications · doi:10.1007/s11036-017-0867-0 · Cited by 11 · see citing works
End-to-End Security in Delay Tolerant Mobile Social Network
Rani, R., & Katti, C. P. (2018) · Communications in computer and information science · doi:10.1007/978-981-13-2035-4_5 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
A Survey on Zero Trust Architecture: Challenges and Future Trends
He, Y., Huang, D., Chen, L., Ni, Y., & Ma, X. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6476274 · Cited by 260 · see citing works
“In the same year, Rani R and others [50] used game theory to design a lightweight trust evaluation scheme, which not only improved the success rate of malicious node detection but also improved the energy efficiency of trust evaluation.”
BackgroundA Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications
Abdalzaher, M. S., & Muta, O. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2996671 · Cited by 104 · see citing works
- Authors
- Rani, R., Kumar, S., & Dohare, U.
- Affiliations
- Jawaharlal Nehru University (IN)
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-10
- Volume
- 6
- Issue
- 5
- Pages
- 8421-8432
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2946134548
- Cited by
- 65
- References
- 40
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 8 · 2023: 12 · 2022: 14 · 2021: 14 · 2020: 8 · 2019: 1
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- Jawaharlal Nehru University, New Delhi (PAC-JNU-DST PURSE-462 (Phase II)-2019)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Keywords
- trust evaluation, energy efficiency, game theory, cluster formation, cluster head selection, Nash equilibrium, anomaly detection, malicious node detection, network lifetime
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
