1 / 39

Universally Composable Symbolic Analysis of Cryptographic Protocols

Universally Composable Symbolic Analysis of Cryptographic Protocols. Ran Canetti and Jonathan Herzog 6 March 2006.

hana
Download Presentation

Universally Composable Symbolic Analysis of Cryptographic Protocols

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Universally Composable Symbolic Analysis of Cryptographic Protocols Ran Canetti and Jonathan Herzog 6 March 2006 The author's affiliation with The MITRE Corporation is provided for identification purposes only, and is not intended to convey or imply MITRE's concurrence with, or support for, the positions, opinions or viewpoints expressed by the author.

  2. Universally Composable Automated Analysis of Cryptographic Protocols Ran Canetti and Jonathan Herzog 6 March 2006 The author's affiliation with The MITRE Corporation is provided for identification purposes only, and is not intended to convey or imply MITRE's concurrence with, or support for, the positions, opinions or viewpoints expressed by the author.

  3. Overview • This talk: symbolic analysis can guarantee universally composable (UC) key exchange • (Paper also includes mutual authentication) • Symbolic (Dolev-Yao) model: high-level framework • Messages treated symbolically; adversary extremely limited • Despite (general) undecidability, proofs can be automated • Result: symbolic proofs are computationally sound (UC) • For some protocols • For strengthened symbolic definition of secrecy • With UC theorems, suffices to analyze single session • Implies decidability!

  4. EKB(A || Na) EKA(Na || Nb || B) EKB(Nb) Needham-Schroeder-Lowe protocol (Prev: A, B get other’s public encryption keys) A B K K

  5. Two approaches to analysis • Standard (computational) approach: reduce attacks to weakness of encryption • Alternate approach: apply methods of the symbolic model • Originally proposed by Dolev & Yao (1983) • Cryptography without: probability, security parameter, etc. • Messages are parse trees • Countable symbols for keys (K, K’,…), names (A, B,…) and nonces (N, N’, Na, Nb, …) • Encryption ( EK(M) ) pairing ( M || N ) are constructors • Participants send/receive messages • Output some key-symbol

  6. The symbolic adversary • Explicitly enumerated powers • Interact with countable number of participants • Knowledge of all public values, non-secret keys • Limited set of re-write rules:

  7. ‘Traditional’ symbolic secrecy • Conventional goal for symbolic secrecy proofs: “If A or B output K, then no sequence of interactions/rewrites can result in K” • Undecidable in general [EG, HT, DLMS] but: • Decidable with bounds [DLMS, RT] • Also, general case can be automatically verified in practice • Demo 1: analysis of both NSLv1, NSLv2 • So what? • Symbolic model has weak adversary, strong assumptions • We want computational properties! • …But can we harness these automated tools?

  8. Natural translation for large class of protocols ‘Soundness’ (need only be done once) Would like Simple, automated What we’d like Symbolic protocol Symbolic key-exchange Concrete protocol Computational key-exchange

  9. Some previous work General area: • [AR]: soundness for indistinguishability • Passive adversary • [MW, BPW]: soundness for general trace properties • Includes mutual authentication; active adversary • Many, many others Key-exchange in particular (independent work): • [BPW]: (later) • [CW]: soundness for key-exchange • Traditional symbolic secrecy implies (weak) computational secrecy

  10. Limitations of ‘traditional’ secrecy • Big question: Can ‘traditional’ symbolic secrecy imply standard computational definitions of secrecy? • Unfortunately, no • Counter-example: • Demo: NSLv2 satisfies traditional secrecy • Cannot provide real-or-random secrecy in standard models • Falls prey to the ‘Rackoff’ attack

  11. EKB( A || Na) EKA( Na || Nb || B ) EKB(Nb) EKB(K) ? K =? Nb The ‘Rackoff attack’ (on NSLv2) A B Adv

  12. Achieving soundness • Soundness requires new symbolic definition of secrecy • [BPW]: ‘traditional’ secrecy + ‘non-use’ • Thm: new definition implies secrecy (in their framework) • But: must analyze infinite concurrent sessions and all resulting protocols • Here: ‘traditional’ secrecy + symbolic real-or-random • Non-interference property; close to ‘strong secrecy’ [B] • Thm: new definition equivalent to UC secrecy • Demonstrably automatable (Demo 2) • Suffices to consider single session! (Infinite concurrency results from joint-state UC theorems) • Implies decidability (forthcoming)

  13. Decidability (not in paper)

  14. Proof overview (soundness) Symbolic key-exchange • Construct simulator • Information-theoretic • Must strengthen notion of UC public-key encryption • Intermediate step: trace properties(as in [MW,BPW]) • Every activity-trace of UC adversary could also be produced by symbolic adversary • Rephrase: UC adversary no more powerful than symbolic adversary Single session UC KE (ideal crypto) UC w/ joint state [CR] (Info-theor.) Multi-session UC KE (ideal crypto) UC theorem Multi-session KE (CCA-2 crypto)

  15. Summary & future work • Result: symbolic proofs are computationally sound (UC) • For some protocols • For strengthened symbolic definition of secrecy • With UC theorems, suffices to analyze single session • Implies decidability! • Additional primitives • Have public-key encryption, signatures [P] • Would like symmetric encryption, MACs, PRFs… • Symbolic representation of other goals • Commitment schemes, ZK, MPC…

  16. Backup slides

  17. Two challenges • Traditional secrecy is undecidable for: • Unbounded message sizes [EG, HT] or • Unbounded number of concurrent sessions (Decidable when both are bounded) [DLMS] • Traditional secrecy is unsound • Cannot imply standard security definitions for computational key exchange • Example: NSLv2 (Demo)

  18. Prior work: BPW New symbolic definition Theory Practice Implies UC key exchange (Public-key & symmetric encryption, signatures)

  19. + Finite system Our work New symbolic definition: ‘real-or-random’ Theory Practice Automated verification! Equiv. to UC key exchange (Public-key encryption [CH], signatures [P]) UC suffices to examine single protocol run Decidability? Demo 3: UC security for NSLv1

  20. Our work: solving the challenges • Soundness: requires new symbolic definition of secrecy • Ours: purely symbolic expression of ‘real-or-random’ security • Result: new symbolic definition equivalent to UC key exchange • UC theorems: sufficient to examine single protocol in isolation • Thus, bounded numbers of concurrent sessions • Automated verification of our new definition is decidable!… Probably

  21. Summary • Summary: • Symbolic key-exchange sound in UC model • Computational crypto can now harness symbolic tools • Now have the best of both worlds: security and automation! • Future work

  22. K K Secure key-exchange: UC ? P P A Answer: yes, it matters • Negative result [CH]: traditional symbolic secrecy does not imply universally composable key exchange

  23. F S K K Secure key-exchange: UC P ? ? P A Adversary gets key when output by participants • Does this matter? (Demo 2)

  24. K, K’ Secure key-exchange [CW] P P A • Adversary interacts with participants • Afterward, receives real key, random key • Protocol secure if adversary unable to distinguish • NSLv1, NSLv2 satisfy symbolic def of secrecy • Therefore, NSLv1, NSLv2 meet this definition as well

  25. F S KE ? P P A Adversary unable to distinguish real/ideal worlds • Effectively: real or random keys • Adversary gets candidate key at end of protocol • NSL1, NSL2 secure by this defn.

  26. Natural translation for large class of protocols Would like Main result of talk (Need only be done once) Simple, automated Analysis strategy Dolev-Yao protocol Dolev-Yao key-exchange Concrete protocol UC key-exchange functionality

  27. {P1, N1}K2 {P2, N1, N2}K1 {N2}K2 “Simple” protocols • Concrete protocols that map naturally to Dolev-Yao framework • Two cryptographic operations: • Randomness generation • Encryption/decryption • (This talk: asymmetric encryption) • Example: Needham-Schroeder-Lowe P1 P2

  28. (P2 P1) (P1 P2) (P1 P2) (P2 P1) Key P2 Key P1 Key k Key k X Key P2 UC Key-Exchange Functionality FKE (P1 P2) A P1 k  {0,1}n (P2 P1) P2

  29. M1 L M2 Local output: Not seen by adversary The Dolev-Yao model • Participants, adversary take turns • Participant turn: A P1 P2

  30. Application of deduction The Dolev-Yao adversary • Adversary turn: A P1 P2 Know

  31. Dolev-Yao adversary powers • Always in Know: • Randomness generated by adversary • Private keys generated by adversary • All public keys

  32. The Dolev-Yao adversary A Know M P1 P2

  33. Dolev-Yao key exchange • Assume that last step of (successful) protocol execution is local output of (Finished Pi Pj K) • Key Agreement: If P1 outputs (Finished P1 P2 K)and P2 outputs(Finished P2 P1 K’)thenK = K’. • Traditional Dolev-Yao secrecy: If Pi outputs (Finished Pi Pj K), then K can never be in adversary’s set Know • Not enough!

  34. Goal of the environment • Recall that the environment Z sees outputs of participants • Goal: distinguish real protocol from simulation • In protocol execution, output of participants (session key) related to protocol messages • In ideal world, output independent of simulated protocol • If there exists a detectable relationship between session key and protocol messages, environment can distinguish • Example: last message of protocol is {“confirm”}K where K is session key • Can decrypt with participant output from real protocol • Can’t in simulated protocol

  35. Real-or-random (1/3) • Need: real-or-random property for session keys • Can think of traditional goal as “computational” • Need a stronger “decisional” goal • Expressed in Dolev-Yao framework • Let be a protocol • Let r be , except that when participant outputs (Finished Pi Pj Kr),Kr added to Know • Let f be , except that when any participant outputs (Finished Pi Pj Kr), fresh key Kf added to adversary set Know • Want: adversary can’t distinguish two protocols

  36. Real-or-random (2/3) • Attempt 1: Let Traces() be traces adversary can induce on . Then: Traces(r) = Traces(f) • Problem: Kf not in any traces of r • Attempt 2: Traces(r) = Rename(Traces(f), KfKr) • Problem: Two different traces may “look” the same • Example protocol: If participant receives session key, encrypts “yes” under own (secret) key. Otherwise, encrypts “no” instead • Traces different, but adversary can’t tell

  37. Real-or-random (3/3) • Observable part of trace: Abadi-Rogaway pattern • Undecipherable encryptions replaced by “blob” • Example: t = {N1, N2}K1, {N2}K2, K1-1 Pattern(t) = {N1, N2}K1, K2, K1-1 • Final condition: Pattern(Traces(r)) = Pattern(Rename(Traces(f), KfKr)))

  38. Main results • Let key-exchange in the Dolev-Yao model be: • Key agreement • Traditional Dolev-Yao secrecy of session key • Real-or-random • Let  be a simple protocol that uses UC asymmetric encryption. Then: DY() satisfies Dolev-Yao key exchange iff UC() securely realizes FKE

  39. Future work • How to prove Dolev-Yao real-or-random? • Needed for UC security • Not previously considered in the Dolev-Yao literature • Can it be automated? • Weaker forms of DY real-or-random • Similar results for symmetric encryption and signatures

More Related