A novel reputation computation model based on subjective logic for mobile ad hoc networks

Liu, Yining; Li, Keqiu; Jin, Yingwei; Zhang, Yong; Qu, Wenyu

doi:10.1016/j.future.2010.03.006

Cited by 85 publications

(45 citation statements)

References 21 publications

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“…Liu et al [17] proposed a reputation mechanism to recognize selfish nodes much earlier and reduce the convergence time for isolating selfish nodes by combining familiarity values with A C C E P T E D M A N U S C R I P T subjective opinions. The familiarity value represents a node's familiar degree with another individual node and is used to calculate the weighting factor that determines how much the node recommendation opinion impacts on the reputation computation result.…”

Section: Related Workmentioning

confidence: 99%

A trustworthy access control model for mobile cloud computing based on reputation and mechanism design

Lin

Huang

et al. 2015

Ad Hoc Networks

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Section: Related Workmentioning

confidence: 99%

A trustworthy access control model for mobile cloud computing based on reputation and mechanism design

Lin

Huang

et al. 2015

Ad Hoc Networks

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“…However, while most of these approaches focus on how to alleviate agents' tendency to cheat when communicating their opinions (Resnick et al 2000;Jøsang et al 2007;Dellarocas 2000), the problem of innacuracy (in terms of subjectivity) has been left aside. Although there exist some approaches that address this issue (Liu et al 2011), these are focused again on numerical models, which can be difficult to be handled by humans in real environments. Furthermore, most of these models are tested in ideal conditions in which agents share exactly the same trust models, and in turn, the same reputation mechanism and internal representation of trust (and opinions).…”

Section: Related Workmentioning

confidence: 99%

On the inaccuracy of numerical ratings: dealing with biased opinions in social networks

2014

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In this work, we study the potential problems emanating from using numerical ratings in social networks to rank entities regarding their reputation. In particular, we empirically demonstrate how reputation rankings as collected and managed by current systems are likely to be skewed due to subjectivity problems associated with the use of numerical ratings to encapsulate preferences. With the aim of overcoming these problems, we put forward an approach in which users are asked for their opinions about entities in a comparative fashion. In order to select the most appropriate users to be queried, we take advantage of the social structure derived from the interactions among users and entities following a principle of heterogeneity. Finally, we evaluate the proposed approach in the domain of movie ratings by using real datasets collected from different web sites.

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“…In the following formulae, we omit the subscript x:y from each 4-tuple opinion. The direct opinions stored in node x's local reputation table are updated through the following formulae [7,8]:…”

Section: Subjective Logic-based Reputation Schemementioning

confidence: 99%

“…In this article, we propose a Privacy-Aware Secure Hybrid Wireless Mesh Protocol (PA-SHWMP), which combines a new dynamic reputation mechanism based on subject logic [7,8] and uncertainty [9] with multilevel security (MLS) technology [10,11].…”

Section: Introductionmentioning

confidence: 99%

PA-SHWMP: a privacy-aware secure hybrid wireless mesh protocol for IEEE 802.11s wireless mesh networks

Lin

et al. 2012

J Wireless Com Network

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Wireless mesh networks (WMNs) have emerged as a key technology for next generation wireless networks and provide a low-cost and convenient solution to the last-mile problem. Security and privacy issues are of paramount importance to WMNs for their wide deployment and for supporting service-oriented applications. Moreover, to support real-time services, WMNs must also be equipped with secure, reliable, and efficient routing protocols. Therefore, a number of research studies have been devoted to privacy-preserving routing protocols in WMNs. However, these studies cannot defend against inside attacks effectively, often take it for granted that every internal node is cooperative and trustworthy, and rarely consider dividing the user privacy information into different categories according to the security requirements. To address these issues, we propose a Privacy-Aware Secure Hybrid Wireless Mesh Protocol (PA-SHWMP), which combines a new dynamic reputation mechanism based on subject logic and uncertainty with the multi-level security technology. PA-SHWMP can defend against the internal attacks caused by compromised nodes and achieve stronger security and privacy protection while maintaining reasonable balances between security and performance. We analyze the PA-SHWMP protocol in terms of security, privacy, and performance. The simulation results show that the packet delivery ratio of the proposed PA-SHWMP becomes better than that of the existing HWMP and SHWMP protocols, when the number of malicious nodes and the percentage of lossy links increase. Moreover, the convergence time of PA-SHWMP is smaller than HWMP and SHWMP with any percentage of malicious mesh routers.

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A novel reputation computation model based on subjective logic for mobile ad hoc networks

Cited by 85 publications

References 21 publications

A trustworthy access control model for mobile cloud computing based on reputation and mechanism design

A trustworthy access control model for mobile cloud computing based on reputation and mechanism design

On the inaccuracy of numerical ratings: dealing with biased opinions in social networks

PA-SHWMP: a privacy-aware secure hybrid wireless mesh protocol for IEEE 802.11s wireless mesh networks

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