1. 16 January 2004LIX1 Equipe Comète Concurrency, Mobility, and Transactions Catuscia Palamidessi INRIA-Futurs and LIX

2. 16 January 2004 LIX 2 People Permanent members: Catuscia Palamidessi (coordinator) Fabrice Le Fessant Collaborations Frank Valencia, BRICS and Uppsala Univ.  -calculus Concurrent Constraint Programming, Security Vijay Saraswat, IBM Yorktown  -calculus, Concurrent Constraint Programming Diletta Cacciagrano, Univ. de L’Aquila  -calculus, fairness Yuxin Deng, Paris VII Type systems for probabilistic process calculi Bernadette Charron Bost, STIX Safety and liveness

3. 16 January 2004 LIX 3 Projects ACI Securité ROSSIGNOL: Verification of Cryptographic Protocols LIF responsable: D. Luigiez LSV Responsable: F. Jacquemard INRIA-Futurs & LIX responsable: C. Palamidessi Verimag Responsible: Y. Lackhnech

4. 16 January 2004 LIX 4 Main Goals Foundations of Languages for Concurrent and Distributed Systems Process Calculi (  -calculus) Mobility, Probabilities Development of a probabilistic version of the asynchronous  -calculus Distributed implementation of the  -calculus A language for specification and verification of security protocols (ProPiS) Development of a platform for distributed programming

5. 16 January 2004 LIX 5 Probabilistic Asynchronous  pa  Catuscia Palamidessi, INRIA Futurs, France Mihaela Herescu, IBM, Austin Aim: add the power of randomization to obtain a language that is as expressive as  (it is possible to encode  into it) can be implemented in a fully distributed way Expressive power of  pa  Solution to problems requiring distributed agreement Encoding of  into  pa completed and proved correct wrt a notion of testing semantics

6. 16 January 2004 LIX 6  pa : the Probabilistic Asynchonous  Syntax g ::= x(y) |  prefixes P ::=  i p i g i. P i pr. inp. guard. choice  i p i = 1 |x^youtput action | P | Pparallel | (x) Pnew name |rec A Precursion | Aprocedure name

7. 16 January 2004 LIX 7 1/2 1/3 2/3 1/2 1/3 2/3 1/2 1/3 2/3 The operational semantics of  pa Based on the Probabilistic Automata of Segala and Lynch Distinction between nondeterministic behavior (choice of the scheduler) and probabilistic behavior (choice of the process) Scheduling Policy: The scheduler chooses the group of transitions Execution: The process chooses probabilistically the transition within the group

8. 16 January 2004 LIX 8 The operational semantics of  pa Representation of a group of transition P { --g i -> p i P i } i Rules Choice  i p i g i. P i {--g i -> p i P i } i P {--g i -> p i P i } i Par ____________________ Q | P {--g i -> p i Q | P i } i

9. 16 January 2004 LIX 9 The operational semantics of  pa Rules (continued) P {--x i (y i )-> p i P i } i Q {--x^z-> 1 Q’ } i Com____________________________________ P | Q {--t-> p i P i [z/y i ] | Q’ } x i =x U { --x i (y i )-> p i P i | Q } x i =/=x P {--x i (y i )-> p i P i } i Res _________________________ q i renormalized (x) P { --x i (y i )-> q i (x) P i } x i =/= x

10. 16 January 2004 LIX 10 Implementation of  pa Compilation in Java > :  pa  Java Distributed > = >. start(); >.start(); Compositional > = > jop > for all op Channels are one-position buffers with test-and-set (synchronized) methods for input and output

11. 16 January 2004 LIX 11 Encoding  into  pa [[ ]] :    pa Fully distributed [[ P | Q ]] = [[ P ]] | [[ Q ]] Preserves the communication structure [[ P  ]] = [[ P ]]  Correct wrt a notion of probabilistic testing semantics P must O iff [[ P ]] must [[ O ]] with prob 1

12. 16 January 2004 LIX 12 Conclusion We have developed a probabilistic version of the asynchronous  -calculus,  pa We have provided an encoding of p into  pa fully distributed compositional correct wrt a notion of testing semantics Advantages: high-level solutions to distributed algorithms Easier to prove correct (no reasoning about randomization required)

13. 16 January 2004 LIX 13 Features of ProPiS Probabilistic Pi for Security  pa enriched with cryptographic primitives similar to those of the spi-calculus [Abadi and Gordon] The probability features will allow to analyse security protocols at a finer level (cryptographic level), i.e. beyond the Dolew-Yao assumptions of perfect cryptography: In our approach an attacker can try to guess a key, for instance. The point is to prove that the probability that his attack can be effective is negligible. The probability features will also allow to express protocols that require randomization.

14. 16 January 2004 LIX 14 Example: The dining cryptographers Crypt (0) Crypt(1) Crypt (2) Master pays 0 notpays 0 A problem of anonymity

15. 16 January 2004 LIX 15 The dining cryptographers The Problem: Three cryptographers share a meal The meal is paid either by the organization (master) or by one of them. The master decides who pays Each of the cryptographers is informed by the master whether or not he is paying Goal: The cryptographers would like to know whether the meal is being paid by the master or by one of them, but without knowing who is paying (if it is one of them).

16. 16 January 2004 LIX 16 The dining cryptographers: Solution Solution: Each cryptographer tosses a coin (probabilistic choice). Each coin is in between two cryptographers. The result of each coin-tossing is visible to the adjacent cryptographers, and only to them. Each cryptographer examines the two adjacent coins If he is paying, he announces “agree” if the results are the same, and “disagree” otherwise. If he is not paying, he says the opposite Claim 1: if the number of “disagree” is even, then the master is paying. Otherwise, one of them is paying. Claim 2: In the latter case, if the coin is fair the non paying cryptographers will not be able to deduce whom exactly is paying

17. 16 January 2004 LIX 17 The dining cryptographers: Solution Crypt(0) Crypt(1)Crypt(2) Master Coin(2) Coin(1) Coin(0) pays 0 notpays 0 look 20 out 1