An Incentive Mechanism for Managing Obligation Delegation

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Many modern information systems use a policy-based approach to manage sensitive information and availability of services. Obligations are essential part of security policies, which specify what actions a user is obliged to perform in the future. One interesting feature of obligations is unenforceable, that is, the system cannot guarantee that each obligation will be fulfilled. Indeed, obligations go unfulfilled for a variety of reasons. For example, a user may have family emergency that leads her having little time to discharge assigned obligations. We argue that delegation of obligations can be regarded as a means of providing opportunity for obligations to be discharged. However, this opportunity will be wasted if users who received delegation do not fulfil the obligations eventually. In this paper we propose a mechanism that incentivises users to accept and fulfil obligations for others by rewarding users credits. The amount of credits can be earned depends on their trust score, which reflects precisely how diligent of individuals in fulfilling obligations in the past. Users are motivated to raise up their trust scores by fulfilling obligations for others, in order to earn more credits in the future. We run experiments in a simulated multi-agent systems to evaluate our approach, which turns out that delegation with incentives achieves the best outcome in terms of the number of obligations being fulfilled.
Original languageEnglish
Title of host publication17th International Conference on Risks and Security of Internet and Systems
Subtitle of host publicationCRiSIS 2022: Risks and Security of Internet and Systems, Revised Selected Papers
EditorsSlim Kallel, Mohamed Jmaiel, Ahmed Hadj Kacem, Mohammad Zulkernine, Frédéric Cuppens, Nora Cuppens
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
VolumeLNCS 13857
ISBN (Electronic)978-3-031-31108-6
ISBN (Print)978-3-031-31107-9
Publication statusE-pub ahead of print - 14 May 2023
Event17th International Conference on Risks and Security of Internet and Systems, CRiSIS 2022 - Sousse, Tunisia
Duration: 7 Dec 20229 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13857 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Risks and Security of Internet and Systems, CRiSIS 2022
Abbreviated titleCRiSIS 2022
Internet address


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