Skip to main content
SpringerLink
Log in

A novel selfish node detection based on reputation and game theory in Internet of Things

  • Regular Paper
  • Published:
Computing Aims and scope Submit manuscript

Abstract

The Internet of Things (IoT) implies a new model and concept in the world of information and communication technology that the non-cooperation of some nodes in providing services to other nodes may result in the disconnection of some things with each other. Consequently, the proximity of such nodes is considerably reduced the network performance. In this paper, a multiphase method based on game theory and direct and indirect reputation has been designed to stimulate selfish and malicious nodes to cooperate in the Internet of Things, which starts with setting up nodes in the IoT network. In the first phase, nodes are grouped in clusters with cluster heads to collect data. Then, they play a dynamic and multi-person game when they promote their own data packet or others’ data packet in the second phase (multi-person game phase and data packet sending). The result of the game is applied to affect between nodes in the next phase. Nodes can pick their strategy when data packet forwarding in the third phase (direct and indirect reputation update). Nodes will update the neighboring node and the reputation table if they receive a confirmation message from the destination declaring that the data packet has a direct reputation. The results show that the accuracy of selfish node detection has increased by average of 8% and the false positive rate is 7% in comparison to comparative methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Khanna A, Kaur S (2020) Internet of Things (IoT), applications and challenges: a comprehensive review. Wireless Pers Commun 114:1687–1762

    Article  Google Scholar 

  2. Kumar S, Tiwari P, Zymbler M (2019) Internet of Things is a revolutionary approach for future technology enhancement: a review. J Big Data 6(1):1–21

    Article  Google Scholar 

  3. Rawat P, Singh KD, Bonnin JM (2016) Cognitive radio for M2M and Internet of Things: a survey. Comput Commun 94:1–29

    Article  Google Scholar 

  4. Aziz AA, Mamat MN, Salleh DM, Abdullah SFS, Nordin MN (2021) An analysis of systematic literature review on the development of Islamic oriented instruments. J Contemp Issues Bus Govern 27(1)

  5. Balakrishnan K, Deng J, Varshney V (2005) TWOACK: preventing selfishness in mobile ad hoc networks. In: IEEE wireless communications and networking conference, vol 4. IEEE, pp 2137–2142

  6. Guo J, Liu H, Dong J, Yang X (2007) HEAD: a hybrid mechanism to enforce node cooperation in mobile ad hoc networks. Tsinghua Sci Technol 12(S1):202–207

    Article  Google Scholar 

  7. Chong Z-K, Tan S-W, Goi B-M, Ng BC-K (2013) Outwitting smart selfish nodes in wireless mesh networks. Int J Commun Syst 26(9):1163–1175

    Article  Google Scholar 

  8. Manimaran A, Durairaj M (2016) The conjectural framework for detecting DDoS attack using enhanced entropy based threshold technique (EEB-TT) in cloud environment. Int J Adv Comput Res 6(27):230

    Article  Google Scholar 

  9. Kaushik R, Singhai J (2011) Modspirite: a credit based solution to enforce node cooperation in an ad-hoc network. Int J Comput Sci Issues (IJCSI) 8(3):295

    Google Scholar 

  10. Rizwana G, Wasim G (2015) Enhanced intrusion detection & prevention mechanism for selfishness in MANET. Int J Innov Res Comput Commun Eng 3:10131–10138

    Google Scholar 

  11. Jesudoss A, Raja SK, Sulaiman A (2015) Stimulating truth-telling and cooperation among nodes in VANETs through payment and punishment scheme. Ad Hoc Netw 24:250–263

    Article  Google Scholar 

  12. AbdelMohsen D, Abdelkader T (2015) Detecting selfish nodes and motivating cooperation in mobile ad-hoc networks. In: 2015 tenth international conference on computer engineering & systems (ICCES), IEEE, pp 301–306

  13. Susan K, Konyeha C, John-Otumu A, Mughele E (2020) An improved token-based umpiring technique for detecting and eliminating selfish nodes in mobile ad-hoc networks. Egyptian Comput Sci J 44(2)

  14. Bounouni M, Bouallouche-Medjkoune L (2018) Acknowledgment-based punishment and stimulation scheme for mobile ad hoc network. J Supercomput 74(10):5373–5398

    Article  Google Scholar 

  15. Lupia A, Kerrache CA, De Rango F, Calafate CT, Cano J-C, Manzoni P (2017) TEEM: trust-based energy-efficient distributed monitoring for mobile ad-hoc networks. In: 2017 Wireless days, IEEE, pp 133–135

  16. Kumar S, Dutta K, Sharma G (2016) A detailed survey on selfish node detection techniques for mobile ad hoc networks. In: 2016 Fourth international conference on parallel, distributed and grid computing (PDGC), IEEE, pp 122–127

  17. Charilas DE, Panagopoulos AD (2010) A survey on game theory applications in wireless networks. Comput Netw 54(18):3421–3430

    Article  Google Scholar 

  18. Al Sharah A, Alhaj M, Hassan M (2020) Selfish dynamic punishment scheme: misbehavior detection in MANETs using cooperative repeated game. IJCSNS 20(3):168–173

    Google Scholar 

  19. Abdalzaher MS, Seddik K, Elsabrouty M, Muta O, Furukawa H, Abdel-Rahman A (2016) Game theory meets wireless sensor networks security requirements and threats mitigation: a survey. Sensors 16(7):1003

    Article  Google Scholar 

  20. Nobahary S, Garakani HG, Khademzadeh A, Rahmani AM (2019) Selfish node detection based on hierarchical game theory in IoT. EURASIP J Wirel Commun Netw 2019(1):1–19

    Article  Google Scholar 

  21. Musthafa MM, Vanitha K, RAHMAN AMZ, Anitha K (2020) An efficient approach to identify selfish node in MANET. In: 2020 International conference on computer communication and informatics (ICCCI), IEEE, pp 1–3

  22. Hasani H, Babaie S (2019) Selfish node detection in ad hoc networks based on fuzzy logic. Neural Comput Appl 31(10):6079–6090

    Article  Google Scholar 

  23. Yao X, Wang J, Shen M, Kong H, Ning H (2019) An improved clustering algorithm and its application in IoT data analysis. Comput Netw 159:63–72

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Lahijan Branch, Islamic Azad University, Lahijan, Iran

    Gholam Hossein Abdi, Amir Hossein Refahi Sheikhani, Sohrab Kordrostami & Armin Ghane

  2. Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

    Shahram Babaie

Authors
  1. Gholam Hossein Abdi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amir Hossein Refahi Sheikhani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sohrab Kordrostami
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Armin Ghane
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shahram Babaie
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amir Hossein Refahi Sheikhani.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abdi, G.H., Sheikhani, A.H.R., Kordrostami, S. et al. A novel selfish node detection based on reputation and game theory in Internet of Things. Computing 106, 81–107 (2024). https://doi.org/10.1007/s00607-023-01184-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00607-023-01184-8

Keywords

Mathematics Subject Classification

Search

Navigation