Dynamic counter-measures for risk-based access control systems: An evolutive approach

• Published in: Future generation computer systems 2016-02, Vol.55, p.321-335
• Main Authors: Díaz-López, Daniel, Dólera-Tormo, Ginés, Gómez-Mármol, Félix, Martínez-Pérez, Gregorio
• Format: Article
• Language: English
• Subjects: Access control systems; Counter-measures; Genetic algorithms; ISMS; ISO 27001; Risk management
• ISSN: 0167-739X; 1872-7115
• DOI: 10.1016/j.future.2014.10.012

Risk-based access control systems are a new element in access control categories, incorporating risk analysis as part of the inputs to consider when taking an authorization decision. A risk analysis over a resource leads generally to temporal allocation of the resource in a risk level (e.g. high, medium, low). Ideally, for each risk level and kind of resource, the access control system should take an authorization decision (expressed like a permit or deny) and the system administrator should also trigger specific counter-measures to protect resources according to their risk level. In a small access control system with few resources it is possible for an administrator to follow the risk level changes and react promptly with counter-measures; but in medium/large access control systems it is almost unfeasible to react in a customized way to thousands of risk level emergencies asking for attention. In this paper we propose the adoption of dynamic counter-measures (which can be integrated within access control policies) changing along time to face variations in the risk level of every resource, bringing two main benefits, namely: (i) a suitable resource protection according to the risk level (not under or over estimated) and (ii) an access control system granting/denying access depending on the fulfillment of a set of security controls applicable in an authorization access request. To define the most appropriate set of counter-measures applicable for a specific situation we define a method based on genetic algorithms, which allows to find a solution in a reasonable time frame satisfying different required conditions. Finally, the conducted experiments show the applicability of our proposal in a real scenario. •Finding of best sets of counter-measures to protect resources.•Dynamic countermeasures to face variations in the Risk Level (RL).•Access depending on the fulfillment of a set of specific security controls.•Method based on genetic algorithms with applicability in a real scenario.•Resource protection according to the risk level (not under or overestimated).