About: Evaluating Self-Adaptive Authorisation Infrastructures through Gamification

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #66570 Evaluating Self-Adaptive Authorisation Infrastructures through Gamification
sameAs	Evaluating Self-Adaptive Authorisation Infrastructures through Gamification
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http://eprints.org/ontology/hasDocument	Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (Other) Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (Other) Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (Other) Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (Other) Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (PDF) Evaluating Self-Adaptive Authorisation Infrastructures through Gamification (Other)
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Title	Evaluating Self-Adaptive Authorisation Infrastructures through Gamification
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-03-09
Creator	Christopher Bailey Rogerio de Lemos
status	peer reviewed published
Publisher	IEEE
abstract	Self-adaptive systems are able to modify their behaviour and/or structure in response to changes that occur to the system itself, its environment, or even its goals. In terms of authorisation infrastructures, self-adaptation has been shown to provide runtime capabilities for specifying and enforcing access control policies and subject access privileges, with a goal to mitigate insider threat. The evaluation of self-adaptive authorisation infrastructures, particularly, in the context of insider threats, is challenging because simulation of malicious behaviour can only demonstrate a fraction of the types of abuse that is representative of the real-world. In this paper, we present an innovative approach based on an ethical game of hacking, protected by an authorisation infrastructure. A key feature of the approach is the ability to observe user activity pre- and post-adaptation when evaluating runtime consequences of self- adaptation. Our live experiments captured a wide range of unpredictable changes, including malicious behaviour related to the exploitation of known vulnerabilities. As an outcome, we demonstrated the ability of our self-adaptive authorisation infrastructure to handle malicious behaviour given the existence of real and intelligent users, in addition to capturing how users responded to adaptation.
Is Part Of	International Conference on Dependable Systems and Networks Proceedings https://kar.kent.ac.uk/id/repository
Subject	QA 76 Software, computer programming,
list of authors	https://kar.kent.ac.uk/id/eprint/66570#authors
presented at	DSN 2018: 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #66570 Evaluating Self-Adaptive Authorisation Infrastructures through Gamification

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