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- W2523677811 abstract "Measuring security is widely accepted to be an important aspect of creating, deploying and maintaining secure applications. However, no comprehensive framework to measure security exists. Moreover, there is currently no systematic way to elicit ’correct’ metrics that monitor such an application. We propose to use a model checker to formally elicit a minimal but sufficient set of metrics to monitor the correctness of the security functionality implemented in an application. In previous work [1] we have described our model framework1. We have argued that it is possible to systematically (and potentially automatically) insert reusable metrics in an application using security patterns. Since these metrics are attached to security patterns, which are in turn instantiated in the application to realise a certain security requirement, measurement results can be aggregated to provide an indication of the degree of fulfillment of these requirement. A remaining question in this approach is how metrics can be systematically elicited for each security pattern. One way to tackle this problem is by using formal modeling techniques. By constructing a formal model of a pattern, it is possible to exhaustively isolate all ”pre-conditions” which must hold for the pattern to operate correctly, i.e., so that the pattern can realize its ”post-conditions”. These post-conditions correspond to the security guarantees that a correctly operating security pattern provides. If the post-conditions imply the security requirements, then the pre-conditions form a sufficient set of monitoring targets, for which metrics can be created. Moreover, by using model checkers, this set of pre-conditions can be minimized in order to obtain a minimal but sufficient set of monitoring targets. To illustrate with a simple example, consider the SECURE LOGGER pattern [2]. This pattern describes how log entries can be cryptographically pre-processed, so that their integrity and confidentiality is ensured, even when stored on untrusted storage media. One of the guarantees (or postconditions) that this pattern provides, is that deletion of an entry will be detected. In order to do this, the description of the SECURE LOGGER suggests to add sequence numbers to each log entry. One way to implement this, is by adding a counter to the secure log, and assign the value of this counter to the next log entry after incrementing it. Of course, the underlying assumption is that this counter should be tamper-proof—if someone is able to modify the value of this counter, then the last entry can be stealthily deleted. One pre-condition on which the SECURE LOGGER builds to ensure its postconditions, i.e., detect deletion of log entries, is to ensure that the counter is not tampered with. A trivial metric to monitor this, is to count the number of log requests, and compare this number to the value of the counter. This is depicted in Figure 1." @default.
- W2523677811 created "2016-09-30" @default.
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- W2523677811 date "2008-07-29" @default.
- W2523677811 modified "2023-09-25" @default.
- W2523677811 title "Using model checkers to elicit security metrics" @default.
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