A distributed decision-making mechanism for wireless P2P networks

Abstract

Trust-based solutions provide some form of payment to peers to encourage good behavior. The problem with trust management systems is that they require prior knowledge to work. In other words, peers are vulnerable to attack if they do not have knowledge or correct knowledge of other peers in a trust management system. Therefore, considering only trust is inadequate when a decision is made to identify the best set of peers to utilize. In order to solve the problem, we propose a distributed decision-making mechanism for wireless peer-to-peer (P2P) networks based on game theory and relevant trust mechanisms in which we incorporate the element of trust and risk into a single model. The main idea of our mechanism is to use utility function to express the relationship between benefits and costs of peers, and then make the decision based on expected utility as well as risk attitude in a fully distributed fashion. The unique feature of our mechanism is that it not only helps a peer to select its partners, but also mitigates vulnerabilities in trust-based mechanisms. Through analysis and experiments, we believe our approach is useful for peers to make the decision regarding who to interact with. In addition, it is also a good starting point for exploring tradeoffs among risk, trust and utility.

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

“…In this literature, researchers use trust relationships, trustworthiness, and other factors for decision-making. Based on trust, the researchers proposed some trust models [34,40,49,52,53,58,59,64,69,75,79], trust mechanisms [32,42,43,78,82], and trust frameworks [57]. They provide a better selection scheme for players in the network/system through trust evaluation.…”

“…The introduction of the trust mechanism is often to solve the problem of security and efficiency in the network [42,43]. For example, in a P2P network, the trust mechanism can help peers make interaction decisions and prevent malicious peers [82]. Trust mechanisms can also increase the efficiency of spectrum and bandwidth sharing in the network [32,78].…”

“…Duan et al [52] Chen et al [53] Cho et al [34] Rishwaraj et al [75] Chica et al [69] Xu et al [49] Li et al [79] Wang et al [40] Abdalzaher et al [58] Jin and Van Dijk [64] Rani et al [59] Wu et al [82] Kim [32] Lorenzo et al [78] Xu et al [42] Pawlick et al [43] Wahab et al [57] Wang et al [15] The introduction of trust provides a solution to maximizing network utility from another perspective. Different from the introduction of game theory, the introduction of trust is more targeted.…”

“…There are many path selections during information transmission, and resource sharing is easy, but it is vulnerable to malicious nodes. In a distributed network, network performance is often evaluated through security and efficiency [52,55,82,84], or metrics based on energy efficiency, trustworthiness of data transmission, and cost-efficiency [38,39,47,58,59].…”

“…Wu et al [82] Zhu et al [47] Ho et al [33] Duan et al [52] Cho et al [56] Yang et al [38] Li et al [39] Gao et al [41] Abdalzaher et al [58] Wang et al [86] Kang et al [84] Rani et al [59] Kim [32] Yu et al [66] Zhu et al [70] Aloqaily et al [74] Cao et al [54] Abbass et al [68] Rishwaraj et al [75] Pawlick and Zhu [37] Xu et al [49] Ahn et al [50] Lorenzo et al [78] Xu et al [51] Tian et al [46] Xu et al [83] Xu et al [42] Pawlick et al [43] Moghadam and Modares [81] Anand et al [48] Chen et al [53] Chica et al [69] Zhang et al [85] Li et al [79] Wahab et al [57] Wang et al [15] Yan et al [16]…”