Building trust in e-commerce

Atif, Yacine

doi:10.1109/4236.978365

Cited by 66 publications

(31 citation statements)

References 6 publications

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“…Page Rank Algorithm Page Rank algorithm used by search engine .We have computed page rank of web sites by parse web pages for links, iteratively compute the page rank and sort the documents by page rank engine [6] .Page Rank algorithm is in fact cal- The PageRank of web page is calculated as sum of the PageRank of all pages linking to its divided by the number of links on each of those pages its outgoing links. B.…”

Section: Web Structure Mining Analysismentioning

confidence: 99%

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Web Mining and Security in E-commerce

Atiq

Ingle

Meshram³

2012

Advances in Computing and Information Technology

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Abstract. This paper is based on e-commerce web sites how to use web mining technology for providing security on e-commerce web sites. The connection between web mining ,security and e-commerce analyzed based on user behavior on web. Different web mining algorithms and security algorithm are used to provided security on e-commerce web sites. Based on customer behavior different web mining algorithms like page rank algorithm and trust rank algorithm is used for developing web mining framework in e-commerce web sites. We have developed false hit database algorithm and nearest neighbor algorithm to provide security on e-commerce web site. In existing web mining framework is based on only web content mining, We have proposed Web mining framework system which is based on web structure mining analysis, Web Content Mining analysis, decision analysis and security analysis.

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Section: Web Structure Mining Analysismentioning

confidence: 99%

“…Section 2 deals with Web Mining Framework System Section 3 deals with Web structure mining analysis, Section 4 deals with Web content mining, Section 5 gives Decision analysis, section 6 gives Security analysis and Section 7 conclude the paper.…”

Section: Introductionmentioning

confidence: 99%

Web Mining and Security in E-commerce

Atiq

Ingle

Meshram³

2012

Advances in Computing and Information Technology

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“…This lack of institution-based trust is because there are not enough trusted third-parties with the power to punish in order to ensure honesty of all the players [4]. This problem is exacerbated in decentralized virtual communities and electronic marketplaces.…”

Section: Introductionmentioning

confidence: 99%

“…Institution-based Trust: a buyer's perception that effective (third-party) institutional mechanisms are in place to facilitate transaction success [49]. 4. Transaction-based Trust: that relies on a participant's past behavior to assess their trustworthiness.…”

Section: Introductionmentioning

confidence: 99%

Digital Reputation for Virtual Communities

Battiti¹,

Garg²

2007

Chapman &Amp; Hall/CRC Computer &Amp; Information Science Series

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In this report we provide an overview of digital reputation management systems for virtual communities. We begin with a discussion on the how trust is created in the real world. We then highlight how the process of trust creation differs in the virtual world. Next, we talk about the different ways in which digital reputations are useful to virtual communities such as incentivizing cooperation and punishing malicious users, providing recommendations or as a form of distributed authentication.We then discuss how evolutionary biology and game theory have informed research in reputation systems. This is followed by a discussion of the various components of reputation such as context, the forms of evidence, first and second order reputation and architectural considerations including the role of distributed hash tables in decentralized reputation management systems. We conclude with a discussion of some reputation management systems such as complaints-based trust, EigenTrust, PeerTrust and ROCQ.

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“…In this paper we will adopt the probabilistic trust model and we interpret, more in general, the degree of trust in a TSP as the probability that she is capable of performing the expected functions, or the service she is meant to provide correctly and within reasonable timescales. We will incorporate such a probabilistic model in the distributed search algorithm described in [Ati02] for determining the best-suited trust paths by also pruning alternatives that does not satisfy (besides cost constraints) trust degree constraints: the "transitive" degree of trust accumulated along the path has to be greater than a given threshold value 0.…”

Section: Introductionmentioning

confidence: 99%