Verification techniques for policy based systems
File(s)Verification Techniques for Policy based Systems.pdf (74.09 KB)
Accepted version
Author(s)
Karafili, E
Pipes, S
Lupu, E
Type
Conference Paper
Abstract
Verification techniques are applied to policy based systems to ensure design correctness and to aid in the discovery of errors at an early stage of the development life cycle. A primary goal of policy verification is to evaluate the policy’s validity. Other analyses on policy based systems include the identification of conflicting policies and policy efficiency evalu- ation and improvement. In this work, we present a discussion and classification of recent research on verification techniques for policy based systems. We analyse several techniques and identify popular supporting verification tools. An evaluation of the benefits and drawbacks of the existing policy analyses is made. Some of the common identified problems were the significant need of computational power, the limitation of the techniques to particular policy model, which restrict their ex- tension to other policy models and the lack of efficient conflicts resolution methods. We use the evaluation results for discussing the further challenges and future research directions that will be faced by policy verification techniques. In particular, we discuss specific requirements concerning verification techniques for coalition policies systems and autonomous decision making.
Date Issued
2018-06-28
Date Acceptance
2017-04-20
Citation
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018
Publisher
IEEE
Journal / Book Title
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
IBM United Kingdom Ltd
Grant Number
EP/L022729/1
CODSE_P67563
Source
DAIS Workshop, 2017 IEEE SmartWorld Congress
Subjects
Verification techniques
Policy analysis
Generative polices
Policy refinement
Efficient analysis
Policy conflict resolution
Autonomous decision making
Publication Status
Published
Start Date
2017-08-04
Finish Date
2017-08-08
Coverage Spatial
San Francisco, CA, USA
Date Publish Online
2018-06-28