P2P-based Trust Model for E-Commerce

Su, Cheng; Zhang, Hong; Bi, Fangming

doi:10.1109/icebe.2006.78

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…So, the total financial risk to the risk assessing agent in its business activity is a combination of the financial loss that it may experience from both the dependable and nondependable events. Approaches have been proposed in the literature which consider the financial resources in the business activity [12][13][14][15][16], but these approaches consider only the dependable events of the activity. They do not take into consideration the existence of non-dependable criteria and, subsequently, the financial loss determined by those approaches does not express the total financial loss that the risk assessing agent could experience in its business activity.…”

Section: Problem Definationmentioning

confidence: 99%

Determining the Net Financial Risk for Decision Making in Business Interactions

Hussain¹,

Dillon²,

Chang³

et al. 2009

2009 International Conference on Advanced Information Networking and Applications

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In a business interaction, transactional risk highlights the uncertainty associated in not achieving the desired outcomes. The assessment of transactional risk gives the interacting user the different levels of failure in achieving its desired outcomes and the consequences that it can experience. In a business interaction, the consequences that can be experienced pertain to the financial resources invested to achieve the desired outcomes. The level of financial loss that could be experienced plays a very important role in the interacting user's decision to form a business interaction. The level of financial loss is dependent on the different types of uncertain events associated with the business interaction. In this paper, we will propose a methodology by which the interacting user in an e-business interaction can capture the different types of uncertainties and ascertain the financial risk that could be experienced from it.

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Section: Problem Definationmentioning

confidence: 99%

Determining the Net Financial Risk for Decision Making in Business Interactions

Hussain¹,

Dillon²,

Chang³

et al. 2009

2009 International Conference on Advanced Information Networking and Applications

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“…Gilber et al [6] pointed out that reputation system should weighted toward rewarding desired behaviors to ensure positive reputations are difficult but not impossible to acquire and good trust rating are relatively easy to diminish since system allows fluctuations of a node's reputation in both directions. Su et al [7] proposed a P2P trust model we called it SUModel, which can diminish risk factors by referral reputation of other peers, but when the direct reputation changes take place, the variation of trust rating change a little. X. Gui et al [8] proposed the trust architecture for Grid security solution.…”

Section: Introductionmentioning

confidence: 99%

Expectation trust model based on behaviors and values

Cai

Luo

2010

2010 2nd IEEE International Conference on Information Management and Engineering

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In virtual network society, trust of computer user takes an important role in transactions. Existing trust model focus on the study of the next transaction decision making based on past behavior. While the cost of next transaction is seldom be taken as a consideration. In this paper, we proposed a novel trust model based on both expression of past transactions and the next transaction, especially make use of the cost of next transaction as an important consideration in trust prediction. The simulation shows that the next cost play an important role in the future transactions.

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“…This analysis does not take into account the resources that the risk assessing agent is going to invest in the interaction. A lot of work has been done in the literature to determine and evaluate the trust in an interaction [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…T PCn tz = (Commitment Level Cn ) (10) where, 'P' represents the risk assessed agent, 'Cn' represents the assessment criterion, in which the trustworthiness of the risk assessed agent 'P' is being determined,…”

mentioning

confidence: 99%

Determining the Failure Level for Risk Analysis in an e-Commerce Interaction

Hussain

Chang

Hussain

et al. 2008

Advances in Web Semantics I

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Abstract. Before initiating a financial e-commerce interaction over the World Wide Web, the initiating agent would like to analyze the possible Risk in interacting with an agent, to ascertain the level to which it will not achieve its desired outcomes in the interaction. By analyzing the possible risk, the initiating agent can make an informed decision of its future course of action with that agent. To determine the possible risk in an interaction, the initiating agent has to determine the probability of failure and the possible consequences of failure to its resources involved in the interaction. In this chapter as a step towards risk analysis, we propose a methodology by which the initiating agent can determine beforehand the probability of failure in interacting with an agent, to achieve its desired outcomes.

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P2P-based Trust Model for E-Commerce

Cited by 13 publications

References 6 publications

Determining the Net Financial Risk for Decision Making in Business Interactions

Determining the Net Financial Risk for Decision Making in Business Interactions

Expectation trust model based on behaviors and values

Determining the Failure Level for Risk Analysis in an e-Commerce Interaction

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