With the development of network technology, security in path planning problems has attracted widespread attention. We consider a path planning problem in which a planner computes a finite path that satisfies a specification. We assume that the specification includes mandatory safety/co-safety specifications. Moreover, we consider a security policy for this path. However, we assume that the information leaked to an intruder is not known beforehand. Then, we propose an enforcement mechanism referred to as a finitehorizon shield. This mechanism modifies the path computed by the planner as small as possible to satisfy the safety/co-safety specifications and security policy under the leaked information. We assume that the safety/co-safety specifications are described by LTL f formulas and the security policy by a hyperLTL f formula. Subsequently, we convert the formulas into quantified formulas and compute the modified path using a satisfiability modulo theories solver. As an example, we consider an opacity problem where there is another path whose leaked information is the same as that of the modified path. By simulations, it confirms that the output of shield depends on the leaked information and the modified path may have additional movements to ensure opacity. We also compare the computation time of the shield with that of a security-aware planning by simulation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.