English

Tight Lower Bounds for the Workflow Satisfiability Problem Based on the Strong Exponential Time Hypothesis

Data Structures and Algorithms 2015-08-28 v1 Computational Complexity Cryptography and Security

Abstract

The Workflow Satisfiability Problem (WSP) asks whether there exists an assignment of authorized users to the steps in a workflow specification, subject to certain constraints on the assignment. The problem is NP-hard even when restricted to just not equals constraints. Since the number of steps kk is relatively small in practice, Wang and Li (2010) introduced a parametrisation of WSP by kk. Wang and Li (2010) showed that, in general, the WSP is W[1]-hard, i.e., it is unlikely that there exists a fixed-parameter tractable (FPT) algorithm for solving the WSP. Crampton et al. (2013) and Cohen et al. (2014) designed FPT algorithms of running time O(2k)O^*(2^{k}) and O(2klog2k)O^*(2^{k\log_2 k}) for the WSP with so-called regular and user-independent constraints, respectively. In this note, we show that there are no algorithms of running time O(2ck)O^*(2^{ck}) and O(2cklog2k)O^*(2^{ck\log_2 k}) for the two restrictions of WSP, respectively, with any c<1c<1, unless the Strong Exponential Time Hypothesis fails.

Keywords

Cite

@article{arxiv.1508.06829,
  title  = {Tight Lower Bounds for the Workflow Satisfiability Problem Based on the Strong Exponential Time Hypothesis},
  author = {Gregory Gutin and Magnus Wahlstrom},
  journal= {arXiv preprint arXiv:1508.06829},
  year   = {2015}
}
R2 v1 2026-06-22T10:42:48.506Z