Smart Card Research and Advanced Applications: 8th IFIP WG by Wojciech Mostowski, Erik Poll (auth.), Gilles Grimaud,

By Wojciech Mostowski, Erik Poll (auth.), Gilles Grimaud, François-Xavier Standaert (eds.)

This ebook constitutes the refereed complaints of the eighth overseas convention on clever Card study and complex functions, CARDIS 2008, held in London, united kingdom, in September 2008.

The 21 revised complete papers awarded, including the summary of 1 invited speak, have been conscientiously reviewed and chosen from fifty one submissions. The papers care for some of the matters relating to using small digital tokens within the strategy of human-machine interactions. The convention scopes comprise a variety of subfields equivalent to networking, effective implementations, actual defense, biometrics, and so forth.

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Additional info for Smart Card Research and Advanced Applications: 8th IFIP WG 8.8/11.2 International Conference, CARDIS 2008, London, UK, September 8-11, 2008. Proceedings

Example text

From these examples, we can conclude with: the security policy of a class B must be the same as the security policy of its superclass A, share(B) = share(A). The constraint above is too strict for API classes, which are public classes (we use this 1: if fields s (B) \ fields s (A) ∩ term to denote classes which do not contain fields(A) = ∅ then secrets, hence classes for which scr C returns 2: return false f alse). In order to deal with API, we relax 3: end if the policy above in the following way: the = ∅ ∧ 4: if fields s (A) policy of a subclass must be the same as share(B) = share(A) then 5: return false the policy of the inherited class only if the 6: end if inherited class contains secret fields.

On Practical Information Flow Policies 37 Integration to Existing Systems (Jvm). Another important challenge, which prevented information flow mechanisms from being used in real systems, is getting the certification process and information flow policies to correctly and easily interact with existing systems. JFlow [13] and Flow Caml [18] are powerful languages, that offer support to a reliable development by defining a new programming language which mixes source code and security policies in a coherent set.

As in classical information flow, each field is annotated by a security level: s for secret, sensitive data and p for public, observable data. g. loyalty points, PIN code) typically resides in instance fields of objects [10]. We prevent information flow from high-security to lowsecurity instance fields. In order to have a reasonable size of information flow annotations for embedded systems, the analysis is field independent but security level sensitive: all the fields of an object having the same security level are modeled as having the same location.

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