Predicting the dynamic nature of risk

Hussain, OK; Chang, E; Hussain, FK; Dillon, TS; Soh, B

Predicting the dynamic nature of risk

Hussain, OK Chang, E Hussain, FK

Dillon, TS Soh, B

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Computer Systems and Applications, 2006, 2006, 2006 pp. 500 - 507
Issue Date:: 2006-11-14

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Field	Value	Language
dc.contributor.author	Hussain, OK	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Soh, B	en_US
dc.date.issued	2006-11-14	en_US
dc.identifier.citation	IEEE International Conference on Computer Systems and Applications, 2006, 2006, 2006 pp. 500 - 507	en_US
dc.identifier.isbn	1424402123	en_US
dc.identifier.isbn	9781424402120	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17407
dc.description.abstract	The trusting peer in order to determine the likelihood of the loss in its resources might analyze the Risk before engaging in an interaction with any trusted peer. This likelihood of the loss in the resources is termed as Risk in the interaction. Risk analysis is important in e-commerce transactions because of the vast literature that argues that the decision to buy is based on the Risk-adjusted cost-benefit analysis. If the trusting peer can determine the future Riskiness value or reputation of a trusted peer for the time period of its interaction, before engaging in an activity with it, then it can ease its decision making process of whether to interact with the trusted peer or not. In this paper we present such a novel method which predicts the dynamic nature of Risk and determines the future Riskiness value of the trusted peer, before the interaction starts, thus helping the trusting peer considerably in making its decision. © 2006 IEEE.	en_US
dc.relation.ispartof	IEEE International Conference on Computer Systems and Applications, 2006	en_US
dc.title	Predicting the dynamic nature of risk	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2006	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Sharjah, UAE	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2006	en_US

Abstract:

The trusting peer in order to determine the likelihood of the loss in its resources might analyze the Risk before engaging in an interaction with any trusted peer. This likelihood of the loss in the resources is termed as Risk in the interaction. Risk analysis is important in e-commerce transactions because of the vast literature that argues that the decision to buy is based on the Risk-adjusted cost-benefit analysis. If the trusting peer can determine the future Riskiness value or reputation of a trusted peer for the time period of its interaction, before engaging in an activity with it, then it can ease its decision making process of whether to interact with the trusted peer or not. In this paper we present such a novel method which predicts the dynamic nature of Risk and determines the future Riskiness value of the trusted peer, before the interaction starts, thus helping the trusting peer considerably in making its decision. © 2006 IEEE.

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http://hdl.handle.net/10453/17407