57 research outputs found

    Towards operational measures of computer security

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    Ideally, a measure of the security of a system should capture quantitatively the intuitive notion of ‘the ability of the system to resist attack’. That is, it should be operational, reflecting the degree to which the system can be expected to remain free of security breaches under particular conditions of operation (including attack). Instead, current security levels at best merely reflect the extensiveness of safeguards introduced during the design and development of a system. Whilst we might expect a system developed to a higher level than another to exhibit ‘more secure behaviour’ in operation, this cannot be guaranteed; more particularly, we cannot infer what the actual security behaviour will be from knowledge of such a level. In the paper we discuss similarities between reliability and security with the intention of working towards measures of ‘operational security’ similar to those that we have for reliability of systems. Very informally, these measures could involve expressions such as the rate of occurrence of security breaches (cf rate of occurrence of failures in reliability), or the probability that a specified ‘mission’ can be accomplished without a security breach (cf reliability function). This new approach is based on the analogy between system failure and security breach. A number of other analogies to support this view are introduced. We examine this duality critically, and have identified a number of important open questions that need to be answered before this quantitative approach can be taken further. The work described here is therefore somewhat tentative, and one of our major intentions is to invite discussion about the plausibility and feasibility of this new approach

    Access Control in and Around the Browser

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    Facets of Security

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    The CAST Method for Comparing Security Standards

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    Authentication using minimally trusted servers

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    From Access Control to Trust Management, and Back – A Petition

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    Part 1: Extended Abstracts for Keynote SpeakersInternational audienceIn security too often services are understood not from first principles but via characteristic mechanisms used for their delivery. Access control had got tied up with DAC, MAC, RBAC and reference monitors. With developments in distributed systems security and with the opening of the Internet for commercial use new classes of access control mechanisms became relevant that did not fit into the established mold. Trust Management was coined as a term unifying the discussion of those mechanisms. We view trust as a placeholder that had its use in driving this research agenda, but argue that trust is so overloaded that it is now an impediment for further progress. Our petition asks for a return to access control and proposes a new framework for structuring investigations in this area

    Towards an information-theoretic framework for analyzing intrusion detection systems

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    IDS research still needs to strengthen mathematical foundations and theoretic guidelines. In this paper, we build a formal framework, based on information theory, for analyzing and quantifying the effectiveness of an IDS. We firstly present a formal IDS model, then analyze it following an information-theoretic approach. Thus, we propose a set of information-theoretic metrics that can quantitatively measure the effectiveness of an IDS in terms of feature representation capability, classification information loss, and overall intrusion detection capability. We establish a link to relate these metrics, and prove a fundamental upper bound on the intrusion detection capability of an IDS. Our framework is a practical theory which is data trace driven and evaluation oriented in this area. In addition to grounding IDS research on a mathematical theory for formal study, this framework provides practical guidelines for IDS fine-tuning, evaluation and design, that is, the provided set of metrics greatly facilitates a static/dynamic fine-tuning of an IDS to achieve optimal operation and a fine-grained means to evaluate IDS performance and improve IDS design. We conduct experiments to demonstrate the utility of our framework in practice
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