1. 27 th Oct 2003 Checking Secure Interactions of Smart Card Applets: extended version P. Bieber, J. Cazin, P. Girard, J. –L. Lanet, V. Wiels, and G. Zanon Published in Journal of Computer Security Presented By: Sruthi Bandhakavi (Day 1)

2. Contents of the paper A security policy that associates levels to applet attributes and methods. A technique based on model checking to verify that actual information flows between applets are authorized. The approach is illustrated on applets involved in an electronic purse running on Java enabled smart cards. Goal: To provide techniques and tools for the Java Card issuer to verify that new applets interact securely with already loaded applets.

3. What is a Java Card? Java Card - A smart card capable of running Java programs. The system architecture on the Java Card

4. Benefits of Java Card Technology Interoperable Secure Multi-Application Capable Dynamic Open Compatible with Existing Standards

5. Multi-application Smart Card A smart card that can contain several functions.

6. Advantages of multi-application smart cards To reduce the number of cards in the users’ wallets Allow the issuers to decrease the time-to-market, the development, infrastructure and deployment costs or to update/add applications after card issuance. Allow the commercial synergies between partners and can lead to new business opportunities. Ex: A credit card with an electronic purse and a frequent flyer application. More cost effective than several cards with single applications.

7. Participants Issuer Proposes the card to the user. (Bank) Application provider (AP) Designs the application for targeted card OS. Negotiates with the issuer for downloading its application into the card. Owner of the applet and applet’s data. (airways operating the frequent flyer application). Card Operator(CO) Interacts with the card either to use an application or to perform an administrative task. (Bank) Card Holder(User)

8. Security issues Platform level security Applications segregation(OS Security) Quality of security services offered by the platform (correctness of JVM, tamper resistance, cryptographic algorithms, post issuance loading mechanisms) Issuers’ responsibility. Application security Under providers’ responsibility but relies on platform security. OS must guarantee the security of the applications even though some insecure applications are encountered by it. Information flow security Difficulties that arise from illegal data sharing inside a card.

9. Security Policies Discretionary Security Policy Application will be in charge of defining their own security policy, for example, by providing access control lists to the OS using which the propagation of data between applets is controlled. Mandatory Security Policy Card wide security policy necessary to solve the problem of re-sharing shared objects.

10. Trust Relationships

11. Security Level lattice without Sharing

12. Security level lattice with unacceptable sharing

13. Security level lattice with acceptable sharing

14. Implementation Issues Classifying the data objects and assigning granularity. Enforcing a security policy

15. Classification of data objects Assign a security level to each data object. In a given applet, label the objects with their provider’s level. If an object is shared, assign the level related to the shared data. Authorized information flows in an applet will be from lower labeled objects to higher ones.

16. Enforcing the security policy Dynamically Using a reference monitor, which will be called each time an object reference is made by the virtual machine. Costly in memory and execution time. Statically By checking the correctness of information flows between applets. Done using security level set with a lattice structure.

17. Applet Certification

18. Example of three applets sharing data

19. Lattice of security levels

20. Electronic Purse Functionalities

21. Electronic purse threats Applet Interactions

22. Security Policy Each applet provider is assigned a security level and we consider special levels for shared data. In our example we have a level for each applet: AF for Air France, P for Purse and RC for RentaCar, AF+P for data shared by Air France and Purse, etc. The relation between levels ≤ is used to authorize or forbid information flows between applets. In the policy we consider, AF + P ≤ AF and AF + P ≤ P, this means that information whose level is AF + P is authorized to flow towards information whose level is P or AF. The applets may only communicate through shared interfaces, directs flows between levels AF, P and RC are forbidden. AF ! ≤ P, P ! ≤ AF, AF ! ≤ RC, RC ! ≤ AF, P ! ≤ RC & RC ! ≤ P.

23. Authorized information flows The levels together with the ≤ relation have a lattice structure, so there are a bottom level public and top level private.

24. Secure Dependency Model Applies to systems where applications might maliciously or involuntarily, communicate confidential information to other applications. Ensures that dependencies between system objects cannot be exploited to establish an indirect communication channel. When applied to electronic purse, illicit interactions will be detected by controlling the dependencies between objects of the system.

25. Definitions Set of Evolutions A program is described by a set of evolutions that associate a value with each object at each date. Ev  Objects X Dates  Values Set Objects X Dates is made of three disjoint subsets: Input objects : not computed by the program Output objects: computed by the program and are directly observable Internal objects: not observable. Function lvl Associates a security level with input and output objects.

26. Secure Dependency Property(SecDep) Requires that the value of the output objects with security level l only depends on the value of input objects whose security level is dominated by l :  o t  Output,  e  Ev,  e’  Ev, e ~ aut(ot) e’  e(o t ) = e’(o t ) where aut(o t ) = {o’ t’  Input | t’ < t, lvl(o’ t’ ) ≤ lvl( o t )} and e ~ aut(ot) e’ iff  o’ t’  aut(o t ), e(o’ t’ ) = e’ (o’ t’ ). Cannot be directly proved by a model checker like SMV because it is neither a safety or liveness property nor a refinement property. So sufficient conditions of SecDep that are better handled by SMV are looked up.

27. Definitions 2 Set dep(i, o t ) Contains objects with date t-1 used by instruction at program location i to compute the value o t. Program counter Internal object such that pc t-1 determines the current instruction used to compute the value of o t. Whenever and object is modified(i.e. o t-1 is different from o t ) then we consider that pc t-1 belongs to dep(i, o t ). Function lvldep Associates a computed level with each object for each evolution. If o t is an input object then lvldep(e, o t ) = lvl(o t ) otherwise lvldep(e, o t ) = max{lvldep(e, o’ t-1 ) | o’ t-1  dep(e(pc t-1 ), o t ) } where max denotes the least upper bound in the lattice of levels.

28. Hypothesis 1. The value of o t computed by the program is determined by the values of objects in dep(e(pc t-1 ), o t ) :  o t  Output,  e  Ev,  e’  Ev, e ~ dep(e(pct-1 ), ot) e’  e(o t ) = e’(o t )

29. Theorem 1. A program satisfies SecDep if the computed level of an output object is always dominated by it security level:  o t  Output,  e  Ev, lvldep(e, o t ) ≤ lvl(o t )