Polynomial Kernels and User Reductions for the Workflow Satisfiability Problem

The workflow satisfiability problem ( wsp ) is a problem of practical interest that arises whenever tasks need to be performed by authorized users, subject to constraints defined by business rules. We are required to decide whether there exists a plan —an assignment of tasks to authorized users—such...

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Vydáno v:Algorithmica Ročník 75; číslo 2; s. 383 - 402
Hlavní autoři: Gutin, Gregory, Kratsch, Stefan, Wahlström, Magnus
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.06.2016
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ISSN:0178-4617, 1432-0541
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Abstract The workflow satisfiability problem ( wsp ) is a problem of practical interest that arises whenever tasks need to be performed by authorized users, subject to constraints defined by business rules. We are required to decide whether there exists a plan —an assignment of tasks to authorized users—such that all constraints are satisfied. The wsp is, in fact, the conservative constraint satisfaction problem (i.e., for each variable, here called task , we have a unary authorization constraint) and is, thus, NP -complete. It was observed by Wang and Li (ACM Trans Inf Syst Secur 13(4):40, 2010 ) that the number k of tasks is often quite small and so can be used as a parameter, and several subsequent works have studied the parameterized complexity of wsp regarding parameter  k . We take a more detailed look at the kernelization complexity of wsp ( Γ ) when  Γ denotes a finite or infinite set of allowed constraints. Our main result is a dichotomy for the case that all constraints in  Γ are regular: (1) We are able to reduce the number  n of users to  n ′ ≤ k . This entails a kernelization to size poly ( k ) for finite  Γ , and, under mild technical conditions, to size poly ( k + m ) for infinite  Γ , where  m denotes the number of constraints. (2) Already  wsp ( R ) for some  R ∈ Γ allows no polynomial kernelization in  k + m unless the polynomial hierarchy collapses.
AbstractList The workflow satisfiability problem ( wsp ) is a problem of practical interest that arises whenever tasks need to be performed by authorized users, subject to constraints defined by business rules. We are required to decide whether there exists a plan —an assignment of tasks to authorized users—such that all constraints are satisfied. The wsp is, in fact, the conservative constraint satisfaction problem (i.e., for each variable, here called task , we have a unary authorization constraint) and is, thus, NP -complete. It was observed by Wang and Li (ACM Trans Inf Syst Secur 13(4):40, 2010 ) that the number k of tasks is often quite small and so can be used as a parameter, and several subsequent works have studied the parameterized complexity of wsp regarding parameter  k . We take a more detailed look at the kernelization complexity of wsp ( Γ ) when  Γ denotes a finite or infinite set of allowed constraints. Our main result is a dichotomy for the case that all constraints in  Γ are regular: (1) We are able to reduce the number  n of users to  n ′ ≤ k . This entails a kernelization to size poly ( k ) for finite  Γ , and, under mild technical conditions, to size poly ( k + m ) for infinite  Γ , where  m denotes the number of constraints. (2) Already  wsp ( R ) for some  R ∈ Γ allows no polynomial kernelization in  k + m unless the polynomial hierarchy collapses.
Author Wahlström, Magnus
Gutin, Gregory
Kratsch, Stefan
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  organization: Royal Holloway, University of London
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Parameterized complexity
Kernelization
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– reference: WangQLiNSatisfiability and resiliency in workflow authorization systemsACM Trans. Inf. Syst. Secur.20101344010.1145/1880022.1880034
– reference: Crampton, J.: A reference monitor for workflow systems with constrained task execution. In: SACMAT, pp. 38–47. ACM (2005)
– reference: Betzler, N., Bredereck, R., Niedermeier, R.: Partial kernelization for rank aggregation: theory and experiments. In: IPEC, volume 6478 of LNCS, pp. 26–37. Springer (2010)
– reference: DowneyRodney GFellowsMichael RFundamentals of Parameterized Complexity. Texts in Computer Science2013BerlinSpringer10.1007/978-1-4471-5559-106236169
– reference: Lokshtanov, D., Misra, N., Saurabh, S.: Kernelization—preprocessing with a guarantee. In: The Multivariate Algorithmic Revolution and Beyond, volume 7370 of LNCS, pp. 129–161. Springer (2012)
– reference: BertinoEBonattiPAFerrariETRBAC: a temporal role-based access control modelACM Trans. Inf. Syst. Secur.20014319123310.1145/501978.501979
– reference: American National Standards Institute. ANSI INCITS 359-2004 for role based access control (2004)
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– reference: BertinoEFerrariEAtluriVThe specification and enforcement of authorization constraints in workflow management systemsACM Trans. Inf. Syst. Secur.1999216510410.1145/300830.300837
– reference: Cohen, D., Crampton, J., Gagarin, A., Gutin, G., Jones, M.: Engineering algorithms for workflow satisfiability problem with user-independent constraints. In: FAW 2014, volume 8497 of LNCS, pp. 48–59. Springer (2014)
– reference: DellHvan MelkebeekDSatisfiability allows no nontrivial sparsification unless the polynomial-time hierarchy collapsesJ. ACM201461423325006910.1145/26296201321.68274
– reference: CramptonJGutinGYeoAOn the parameterized complexity and kernelization of the workflow satisfiability problemACM Trans. Inf. Syst. Secur.2013161410.1145/2487222.2487226
– reference: Hermelin, D., Kratsch, S., Soltys, K., Wahlström, M., Wu, X.: A completeness theory for polynomial (Turing) kernelization. In: IPEC, volume 8246 of LNCS, pp. 202–215. Springer (2013)
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SubjectTerms Algorithm Analysis and Problem Complexity
Algorithms
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Mathematics of Computing
Theory of Computation
Title Polynomial Kernels and User Reductions for the Workflow Satisfiability Problem
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