International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 15, No. 4, 8 Aug. 2025
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Improved Hybrid Architecture to Mitigate Free Riding in P2p Network
PDF (3162KB), PP.31-50
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Author(s)
Akinboro Solomon
1,*
Tunwashe Daniel. O.
1
Oladeji Florence A.
1
Akintunde Christian. T.
1
Idris Abdulkadri
1
Index Terms
Free-riding, Peer-to-Peer Network, Dynamic Grace Period, Content Scanning Mechanism, Hybrid Architecture
Abstract
Peer-to-peer (P2P) networks rely heavily on resources shared by peers in the network as a result of this mitigating free riding in the network is very crucial in a P2P system. In this work, we introduced a dynamic grace period allocation and a content scanning mechanism to a hybrid P2P architecture to mitigate free riding and prevent peers from uploading repeated and fake files within the network. The method introduced was simulated using Python programming language with peers selected at random to upload and download files representing a typical scenario of a P2P network. From the range of 0-500 and 600-2000, twenty different peers were selected at random the first scenario represents few peers and the second scenario represents many peers for analysis and experimentation purposes and also for the different percentages of free riders used for the experiment, this was chosen at random. Finally, we compared our method with a credit-based approach (CBA) that uses a common grace period assigned to peers in the network. Then, for the performance evaluation metric, we used the total uploads and downloads, contributing peers uploads and downloads, free rider peers uploads and downloads, and repeated and fake files detected gotten from the simulation result to evaluate the model and analyze the outcome of the experiments. Results from the simulation revealed that the Dynamic grace period approach (DGA) is 25-70% more effective than CBA in maintaining contributing peer activity and preventing the spread of repeated and fake files,while also achieving lower latency, higher throughput, and better quality of service (QoS) across diverse network conditions, particularly in high free-rider environments.
Cite This Paper
Akinboro Solomon, Tunwashe Daniel. O., Oladeji Florence A., Akintunde Christian. T., Idris Abdulkadri, "Improved Hybrid Architecture to Mitigate Free Riding in P2p Network", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.15, No.4, pp. 31-50, 2025. DOI:10.5815/ijwmt.2025.04.03
Reference
[1]Mane, P. C., & Ratnaparkhi, S. (2023). “Peer-to-Peer Network: Kantian Cooperation Discourage Free Riding”. arXiv preprint arXiv:2304.12234.
[2]Shi, X., Han, J., Liu, Y., & Ni, L. M. (2009). “Popularity adaptive search in hybrid P2P systems”. Journal of Parallel and Distributed Computing, 69(2), 125-134.
[3]Biaou, B. O. S., Oluwatope, A. O., Odukoya, H. O., Babalola, A., Ojo, O. E., & Sossou, E. H. (2022). “Ayo game approach to mitigate free riding in peer-to-peer networks”. Journal of King Saud University-Computer and Information Sciences, 34(6), 2451-2460.
[4]Khalid, R., Javaid, N., Javaid, S., Imran, M., & Naseer, N. (2020). “A blockchain-based decentralized energy management in a P2P trading system”. In ICC 2020-2020 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.
[5]Kurdi, H., Althnian, A., Abdulghani, M., & Alkharji, S. (2020). “An Adjusted Free-Market-Inspired Approach to Mitigate Free-Riding Behavior in Peer-to-Peer Fog Computing”. Electronics, 9(12), 2027.
[6]Ayodeji, I. O. (2022). “Increasing service capacity of peer-to-peer file sharing networks by using a decentralized reputation system” (Doctoral dissertation, Dublin, National College of Ireland).
[7]Goswami, A., Gupta, R., & Parashari, G. S. (2017). “Reputation-based resource allocation in P2P systems: A game theoretic perspective”. IEEE Communications Letters, 21(6), 1273-1276.
[8]Alotibi, B., Alarifi, N., Abdulghani, M., & Altoaimy, L. (2019). “Overcoming free-riding behavior in peer-to-peer networks using points system approach”. Procedia Computer Science, 151, 1060-1065.
[9]Hazazi, M., Almousa, A., Kurdi, H., Al-Megren, S., & Alsalamah, S. (2019). “A Credit-Based Approach for Overcoming Free-Riding Behaviour in Peer-to-Peer Networks”. Computers, Materials & Continua, 59(1).
[10]Adamu, A. (2021). “Share-ratio-based incentive mechanism for file sharing with BitTorrent protocol”. IEEE Access, 9, 91524-91536.
[11]Zhang, B. Y., & Pei, S. (2022). “Game theory and the evolution of cooperation”. Journal of the Operations Research Society of China, 10(2), 379-399.
[12]Shareh, M. B., Navidi, H., Javadi, H. H. S., & HosseinZadeh, M. (2019). “Preventing Sybil attacks in P2P file sharing networks based on the evolutionary game model”. Information Sciences, 470, 94-108.
[13]Ahmed, A., & Choi, B. J. (2023). FRIMFL: “A Fair and Reliable Incentive Mechanism in Federated Learning”. Electronics, 12(15), 3259.
[14]He, Y., Li, H., Cheng, X., Liu, Y., Yang, C., & Sun, L. (2018). “A blockchain based truthful incentive mechanism for distributed P2P applications”. IEEE access, 6, 27324-27335.
[15]He, S., Lu, Y., Tang, Q., Wang, G., & Wu, C. Q. (2021). “Fair peer-to-peer content delivery via blockchain". In Computer Security–ESORICS 2021: 26th European Symposium on Research in Computer Security, Darmstadt, Germany, October 4–8, 2021, Proceedings, Part I 26 (pp. 348-369). Springer International Publishing.
[16]Awasthi, S. K., & Singh, Y. N. (2019). “Simplified Biased Contribution Index (SBCI): A mechanism to make P2P network fair and efficient for resource sharing”. Journal of Parallel and Distributed Computing, 124, 106-118.
[17]Wu, T. Y., Lee, W. T., Guizani, N., & Wang, T. M. (2014). “Incentive mechanism for P2P file sharing based on social network and game theory”. Journal of Network and Computer Applications, 41, 47-55.
[18]Heuer, L., & Orland, A. (2019). “Cooperation in the Prisoner’s Dilemma: an experimental comparison between pure and mixed strategies”. Royal Society open science, 6(7), 182142.
[19]Ma, X., Yu, D., Du, Y., Li, L., Ni, W., & Lv, H. (2023). “A Blockchain-Based Incentive Mechanism for Sharing Cyber Threat Intelligence”. Electronics, 12(11), 2454.
[20]Motepalli, S., & Jacobsen, H. A. (2021). “Reward mechanism for blockchains using evolutionary game theory”. In 2021 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS) (pp. 217-224). IEEE.
[21]Pradhan, S., Tripathy, S., & Nandi, S. (2018). “Blockchain based Security Framework for P2P Filesharing system”. IEEE Xplore. https://doi.org/10.1109/ANTS.2018.8710078
[22]Tseng, Y. M., & Chen, F. G. (2011). “A free-rider aware reputation system for peer-to-peer file-sharing networks”. Expert Systems with Applications, 38(3), 2432-2440.
[23]Sun, Z., Wan, J., Yin, L., Cao, Z., Luo, T., & Wang, B. (2022). “A blockchain-based audit approach for encrypted data in federated learning”. Digital Communications and Networks, 8(5), 614-624.
[24]Azzedin, F. (2016). “Mitigating the effect of free riders in distributed systems: A trust-based approach”. International Journal of Sensor Networks, 22(4), 248-258.
[25]Berenjian, S., Hajizadeh, S., & Atani, R. E. (2019). “An incentive security model to provide fairness for peer-to-peer networks”. In 2019 IEEE Conference on Application, Information and Network Security (AINS) (pp. 71-76). IEEE.
[26]Pal, D., Khethavath, P., Thomas, J. P., & Mangla, U. (2022). “KeyPIn–mitigating the free rider problem in the distributed cloud based on Key, Participation, and Incentive”. Journal of Cloud Computing, 11(1), 8.
[27]Goyal, P., Netravali, R., Alizadeh, M., & Balakrishnan, H. (2019). “Secure incentivization for decentralized content delivery”. In 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19).
[28]ImaniMehr, Z., & DehghanTakhtFooladi, M. (2019). “Token-based incentive mechanism for peer-to-peer video streaming networks”. The Journal of Supercomputing, 75, 6612-6631.
[29]Hua, J. S., Huang, S. M., Yen, D. C., & Chena, C. W. (2012). “A dynamic game theory approach to solve the free riding problem in the peer-to-peer networks”. Journal of Simulation, 6(1), 43-55.
[30]de Lucena Falcão, E., Brasileiro, F., Brito, A., & Vivas, J. L. (2016). “Enhancing fairness in P2P cloud federations”. Computers & Electrical Engineering, 56, 884-897.
[31]Ghaderzadeh, A., Kargahi, M., & Reshadi, M. (2017). Infred: “intelligent free rider detection in collaborative distributed systems”. Journal of Network and Computer Applications, 78, 134-145.
[32]Singha, N., Singh, Y. N., & Gupta, R. (2019). “Adaptive capacity partitioning in cooperative computing to maximize received resources”. IEEE Access, 8, 3551-3565.
[33]Rahman, M., Yuksel, M., & Quint, T. (2021). “A game-theoretic framework to regulate freeriding in inter-provider spectrum sharing”. IEEE Transactions on wireless Communications, 20(6), 3941-3957.
[34]Anandaraj, M., Ganeshkumar, P., Selvaraj, K., & Vijayakumar, K. P. (2020). “An efficient framework for network code based multimedia content distribution in hybrid P2P network”. Journal of Circuits, Systems and Computers, 29(10), 2050157.
[35]Stokkink, Q., Ileri, C. U., & Pouwelse, J. (2022). “Reputation-based data carrying for web3 networks”. In 2022 IEEE 47th Conference on Local Computer Networks (LCN) (pp. 283-286). IEEE
[36]Masinde, N., & Graffi, K. (2020). “Peer-to-peer-based social networks: A comprehensive survey”. SN Computer Science, 1(5), 299.
[37]Lakhani, V. H., Jehl, L., Hendriksen, R., & Estrada-Galiñanes, V. (2022, July). “Fair incentivization of bandwidth sharing in decentralized storage networks”. In 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW) (pp. 39-44). IEEE.
[38]Ihle, C., Trautwein, D., Schubotz, M., Meuschke, N., & Gipp, B. (2023). “Incentive mechanisms in peer-to-peer networks—a systematic literature review”. ACM Computing Surveys, 55(14s), 1-69.