By Sheikh Mahbub Habib, Julita Vassileva, Sjouke Mauw, Max Mühlhäuser
This publication constitutes the refereed complaints of the tenth IFIP WG 11.11 overseas convention on belief administration, IFIPTM 2016, held in Darmstadt, Germany, in July 2016. The 7 revised complete papers and seven brief papers provided including an invited paper have been rigorously reviewed and chosen from 26 submissions. The papers disguise a variety of issues together with belief structure, belief modeling, belief metrics and computation, acceptance and privateness, safety and belief, sociotechnical points of belief, and assaults on belief and popularity systems.
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Extra info for Trust Management X: 10th IFIP WG 11.11 International Conference, IFIPTM 2016, Darmstadt, Germany, July 18-22, 2016, Proceedings
Let p(θ|r) = 0 for either θ>|Θ | or r>|R A |, except that there is a r˙ > ˙ r) ˙ = 1. We get H(Θ) = H(Θ ) − f (p(r)), ˙ and |R A | and a θ˙ > |Θ |, for which p(θ| ˙ r)) ˙ · f (p(θ| ˙ = H(Θ|Ra ). Given p(r) ˙ ≥ 0, H(Θ) − H(Θ|Ra ) = H(Θ |Ra ) − p(r) H(Θ|Ra ) ≥ H(Θ ) − H(Θ |Ra ). Hence, I(Θ; Ra ) ≥ I(Θ ; Ra ). Intuitively, one of two ratings can happen, if the additional rating occurs, the user gains a lot of information – namely that the additional option occurred. The remaining cases do not involve the new rating or choice, and remains essentially unchanged (only linear weights change proportionally).
Support Syst. 66, 102–113 (2014) 18. : Design of a mechanism for promoting honesty in e-marketplaces. In: Proceedings of the 22nd Conference on Artiﬁcial Intelligence (AAAI), pp. de Abstract. The trustworthiness of systems that support complex collaborative business processes is an emergent property. In order to address users’ trust concerns, trustworthiness requirements of software systems must be elicited and satisﬁed. The aim of this paper is to address the gap that exists between end-users’ trust concerns and the lack of implementation of proper trustworthiness requirements in software systems.
The ratings that minimise information leakage are referred to as the minimal RA . Which ratings minimise information leakage depends on A, Θ, RA and SA . 26 6 T. Muller et al. Design Guidelines This section is the core of the paper. Here, we study choices that one can make to mitigate unfair rating attacks. This section is divided into subsections, each of which considers an individual choice. To give a quick overview of the results: 1. It is not helpful to block seemingly malicious advisors, and often counterproductive.
Trust Management X: 10th IFIP WG 11.11 International Conference, IFIPTM 2016, Darmstadt, Germany, July 18-22, 2016, Proceedings by Sheikh Mahbub Habib, Julita Vassileva, Sjouke Mauw, Max Mühlhäuser