Non-interference analysis of bounded labeled Petri nets
Ning Ran, Zhengguang Wu, Shaokang Zhang, Zhou He, Carla Seatzu
TL;DR
The paper tackles strong nondeterministic non-interference (SNNI) in bounded labeled Petri nets by modeling hierarchical observation (high-level vs low-level) and showing how low-level outputs should not reveal high-level activity. It introduces the unfolded basis reachability graph (UBRG) to identify explicit sequences whose enabling may depend on high-level transitions and defines the SNNI Verifier (SV) to decide SNNI via a parallel composition of the UBRG with the low-level reachability structure. A necessary and sufficient condition for SNNI is established: the BRG-derived alpha/beta leaf-path sets must coincide with the SV-derived counterparts, leading to a finite, analyzable check with complexity O(x^2). This framework unifies language-projectivity reasoning with automata-based verification and extends prior ILP-based approaches to labeled Petri nets, offering a path toward SNNI enforcement and BSNNI extensions in future work.
Abstract
This paper focuses on a fundamental problem on information security of bounded labeled Petri nets: non-interference analysis. As in hierarchical control, we assume that a system is observed by users at different levels, namely high-level users and low-level users. The output events produced by the firing of transitions are also partitioned into high-level output events and low-level output events. In general, high-level users can observe the occurrence of all the output events, while low-level users can only observe the occurrence of low-level output events. A system is said to be non-interferent if low-level users cannot infer the firing of transitions labeled with high-level output events by looking at low-level outputs. In this paper, we study a particular non-interference property, namely strong non-deterministic non-interference (SNNI), using a special automaton called SNNI Verifier, and propose a necessary and sufficient condition for SNNI.
