CRAC is an IT-infrastructure-based method for assessing and comparing confidentiality risks of distributed IT systems. The method determines confidentiality risks by taking into account the effects of the leakage of confidential information (e.g. industrial secrets), and the paths that may be followed by different attackers (e.g. insider and outsider). We evaluate its effectiveness by applying it to a real-world outsourcing case.
Security evaluation according to ISO 15408 (Common Criteria) is a resource and time demanding activity, as well as being costly. For this reason, only few companies take their products through a Common Criteria evaluation. To support security evaluation, the European Telecommunications Standards Institute (ETSI) has developed a threat, vulnerability, risk analysis (eTVRA) method for the Telecommunication (Telco) domain. eTVRA builds on the security risk management methodology CORAS and is structured in such a way that it provides output that can be directly fed into a Common Criteria security evaluation.In this paper, we evaluate the time and resource efficiency of parts of eTVRA and the quality of the result produced by following eTVRA compared to a more pragmatic approach (Protection Profile-based checklists). We use both approaches to identify and analyze risks of a new SIM card currently under joint development by a small hardware company and a large Telco provider.
Abstract-Information systems require awareness of risks and a good understanding of vulnerabilities and their exploitations. In this paper, we propose a novel approach for the systematic assessment and analysis of confidentiality risks caused by disclosure of operational and functional information. The approach is modeldriven integrating information assets and the IT infrastructure that they rely on for distributed systems. IT infrastructures enable one to analyse risk propagation possibilities and calculate the impact for confidentiality incidents. Furthermore, depending on the monetary value of an information asset, we bridge the technical and business-oriented views of information security.
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.