A Privacy Preserving Reputation System for Mobile Information Dissemination Networks

Voß, Marco; Heinemann, Andreas; Mühlhäuser, Max

doi:10.1109/securecomm.2005.7

Cited by 30 publications

(22 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, a number of papers have addressed the issue of reputation and privacy. A typical approach is typified by [10], who incorporate privacy into their scheme. However, their system does not provide unlinkability.…”

Section: Related Workmentioning

confidence: 99%

A Reputation System Preserving the Privacy of Feedback Providers and Resisting Sybil Attacks

Zhang¹,

Li²,

Yang³

2014

IJMUE

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

A Reputation System Preserving the Privacy of Feedback Providers and Resisting Sybil Attacks

Zhang¹,

Li²,

Yang³

2014

IJMUE

View full text Add to dashboard Cite

show abstract

“…The existing incentive strategies are traditionally classified into three categories [4,8]: barter-based [4,3,59], credit-based [8,43,63,37,62] and reputation-based [1,56,11,57,37,28]. In the following subsections, we will introduce the representative strategies in each category and summarize their common problems.…”

Section: Strategies For Preventing Selfish Behaviormentioning

confidence: 99%

An investigation on the unwillingness of nodes to participate in mobile delay tolerant network routing

Miao¹,

Hasan²,

Mokhtar³

et al. 2013

International Journal of Information Management

View full text Add to dashboard Cite

Message routing in mobile delay tolerant networks inherently relies on the cooperation between nodes. In most existing routing protocols, the participation of nodes in the routing process is taken as granted. However, in reality, nodes can be unwilling to participate. We first show in this paper the impact of the unwillingness of nodes to participate in existing routing protocols through a set of experiments. Results show that in the presence of even a small proportion of nodes that do not forward messages, performance is heavily degraded. We then analyze two major reasons of the unwillingness of nodes to participate, i.e., their rational behavior (also called selfishness) and their wariness of disclosing private mobility information.Our main contribution in this paper is to survey the existing related research works that overcome these two issues. We provide a classification of the existing approaches for protocols that deal with selfish behavior. We then conduct experiments to compare the performance of these strategies for preventing different types of selfish behavior. For protocols that preserve the privacy of users, we classify the existing approaches and provide an analytical comparison of their security guarantees.

show abstract

“…Voss et al [57] and Bo et al [8] also present decentralized systems that are based on similar lines. They both suggest using smart cards as the trusted hardware modules.…”

Section: How Security Is Achievedmentioning

confidence: 99%

Privacy Preserving Reputation Management in Social Networks

Hasan¹,

Brunie²

2013

Lecture Notes in Social Networks

View full text Add to dashboard Cite

Reputation management is a powerful security tool that helps establish the trustworthiness of users in online applications. One of the most successful use of reputation systems is on e-commerce web sites such as eBay.com and Amazon.com, which use reputation systems to root out fraudulent sellers. Reputation systems can also play an important role in social networks to enforce various security requirements. For example, a reputation system can help filter fake user profiles. However, a major challenge in developing reputation systems for social networks is that users often hesitate to publicly rate fellow users or friends due to the fear of retaliation. This trend prevents a reputation system from accurately computing reputation scores. Privacy preserving reputation systems hide the individual ratings of users about others and only reveal the aggregated community reputation score thus allowing users to rate without the fear of retaliation. In this chapter, we describe privacy preserving reputation management in social networks and the associated challenges. In particular we will look at privacy preserving reputation management in decentralized social networks, where there is no central authority or trusted third parties, thus making the task of preserving privacy particularly challenging.

show abstract

A Privacy Preserving Reputation System for Mobile Information Dissemination Networks

Cited by 30 publications

References 10 publications

A Reputation System Preserving the Privacy of Feedback Providers and Resisting Sybil Attacks

A Reputation System Preserving the Privacy of Feedback Providers and Resisting Sybil Attacks

An investigation on the unwillingness of nodes to participate in mobile delay tolerant network routing

Privacy Preserving Reputation Management in Social Networks

Contact Info

Product

Resources

About