Cryptography and Complexity at the Weizmann Institute

1. Cryptography and Complexity at the Weizmann Institute מוני נאור Moni Naor Weizmann Institute of Science Open Day February 2005

2. Computational Complexity Theory • Study the resources needed to solve computational problems • Computer time • Computer memory • Communication • Parallelism • Randomness • … • Identify problems that are infeasible to compute by any reasonable machine • Taxonomy: classify problems into classes with similar properties wrt the resource requirements • Help find the most efficient algorithm for a problem • A computational problem: • multiplying two numbers, • selecting a move in a chess position • Find the shortest tour visiting all cities P=NP?

3. What is Cryptography? Traditionally: how to maintain secrecy in communication Alice and Bob talk while Eve tries tolisten Bob Alice Eve

4. History of Cryptography • Very ancient occupation Biblical times - איך נלכדה ששך ותתפש תהלת כל הארץ איך היתה לשמה בבל בגויים • Egyptian Hieroglyphs • Unusual ones ... • Many interesting books and sources, especially about the Enigma (WW2)

5. Modern Times • Up to the mid 70’s - mostly classified military work • Since then - explosive growth • Commercial applications • Scientific work: tight relationship with Computational Complexity Theory • Recently - more involved models for more diverse tasks. How to maintain the secrecy, integrity and functionality in computer and communication system. • Prevalence of the Internet: • Cryptography is in the news (daily!) • Cryptography is relevant to ``everyone” - security and privacy issues for individuals

6. Complexity Theory - Study the resources needed to solve computational problems computer time, memory Identify problems that are infeasible to compute. Cryptography - Find ways to specify security requirements of systems Use the computational infeasibility of problems in order to obtain security. Cryptographic Research The development of these two areas is tightly connected! “A match made in heaven”

7. Prof. Uri Feige Prof. Oded Goldreich Prof. Shafi Goldwasser Prof. Moni Naor Dr. Omer Reingold Prof. Ran Raz Prof. Adi Shamir אורי פייגה עודד גולדרייך שפי גולדווסר מוני נאור עומר ריינגולד רן רז עדי שמיר Faculty members in Cryptography and Complexity One of the most active groups in the world!

8. Authentication One of the fundamental tasks of cryptography • Alice (sender) wants to send a message m to Bob(receiver). • They want to prevent Eve from interfering • Bob should be sure that the message m’ he receives is indeed the message mAlice sent. Alice Bob Eve

9. Authentication and Non-Repudiation • Key idea of modern cryptography [Diffie-Hellman]: can make authentication (signatures) transferable to third party - Non-repudiation. • Provided Alice (the sender) has a unique public key • Essential to contract signing, e-commerce… • First implementation: Rivest, Shamir and Adleman 1977 • Digital Signatures: last 25 years major effort in • Research • Notions of security • Computationally efficient constructions • Technology, Infrastructure (PKI), Commerce, Legal Turing Award2003 Existential Unforgeability under an adaptive message attack

10. Isnon-repudiation always desirable? Not necessarily so: • Privacy of conversation, no (verifiable) record. • Do you want everything you ever said to be held against you? • If Bob pays for the authentication, shouldn't be able to transfer it for free Alternative: (Plausible) Deniability • If the recipient (or any recipient) could have generated the conversation himself • or an indistinguishable one Key concept in cryptography and complexity

11. Deniable Authentication Setting: • Sender has a public key known to receiver • Want to come up with an (perhaps interactive) authentication scheme such that the receiver keeps no receipt of conversation. This means: • Any receiver could have generated the conversation itself. • There is a simulator that for any message m and verifier V* generates an indistinguishable conversation. • This property is known as Zero-Knowledge! • An example where zero-knowledge is theends, not the means! Proof of security consists of Unforgeability and Deniability Yet another WIS concept

12. Ring Signatures and Authentication Can we keep the senderanonymous? Idea: prove that the signer is a member of an ad hocset • Other members do not cooperate • Use their `regular’ public-keys • Encryption • Should be indistinguishable which member of the set is actually doing the authentication Bob Alice? Eve

13. Deniable Ring Authentication Completeness: a good sender and receiver complete the authentication on any message m Unforgeability Existential unforgeable against adaptive chosen message attack for any sequence of messagesm1, m2,… mk Adversarially chosen in an adaptive manner Even if sender authenticates all of m1, m2,… mk Probability forger convinces receiver to accept a m{m1, m2,… mk } is negligible Properties of an interactive authentication scheme

14. Deniable Ring Authentication Deniability • For any verifier, for any arbitrary set of keys, some good some bad, there is simulator that can generate computationally indistinguishable conversations. • A more stringent requirement: statisticallyindistinguishable Source Hiding: • For any verifier, for any arbitrary set of keys, some good some bad, the source is computationally indistinguishable among the good keys • A more stringent requirement: statisticallyindistinguishable Source Hiding andDeniability – incomparable

15. Encryption Plaintext • Assume a public key encryption scheme E • Public key PK – knowing PK can encrypt message m • generate Y=E(PK , m, r) • With corresponding secret key PS, givenYcan retrieve m • m =D(PS , Y) • Encryption process is probabilistic Each message induces a distribution on the ciphertexts • Security of encryption scheme: • non-malleable against chosen ciphertext attacks in the post-processing mode. • In particular given Y=E(PK, m, r)hard to generateY’=E(PK, m’, r’)for a related message m’ • Example of a very malleable scheme: one-time pad Ciphertext

16. A Public Key Authentication Protocol P has a public key PK of an encryption scheme E. To authenticate a message m: • V P: Choose x R {0,1}n. Send Y=E(PK, m°x, r) • P V: Verify that prefix of plaintext is indeed m. If yes - send x. V accepts iff the receivedx’=x Is it Unforgeable? Is it Deniable?

17. Security of the scheme Unforgeability: depends on the strength of E • Sensitive to malleability: • if given E(PK, m°x, r) can generate E(PK, m’°x’, r) where m’ is related to m andx’ is related to x then can forge. • The protocol allows a chosen ciphertext attack on E. • Even of the post-processing kind! • Can prove that any strategy for existential forgery can be translated into a CCA strategy on E • Works even against concurrent executions. Deniability: does Vretain a receipt?? • It does not retain one for an honestV • Need to prove knowledge of x There are encryption schemes satisfying the desired requirements

18. Simulator for honest receiver Choose x R {0,1}n. Output: hY=E(PK, m°x, r), x, ri Has exactly the same distribution as a real conversation when the verifier is following the protocol Statistical indistinguishability Verifier might cheat by checking whether certain ciphertext have as a prefix m No known concrete way of doing harm this way

19. Encryption as Commitment When the public key PK is fixed and known Y=E(PK, x, r) can be seen as commitment tox Toopenxrevealr,the random bits used to create Y Perfect binding: from unique decryption For any Y there are no two different xandx’and r and r’ s.t. Y=E(PK, x, r) =E(PK, x’, r’) Secrecy: no information about xis leaked to thosenotknowing private key PS

20. Deniable Protocol P has a public key PK of an encryption scheme E. To authenticate message m: • V  P: Choose xr{0,1}n. Send Y=E(PK, m°x, r) • P V: SendE(PK, x, t) • V P: Sendx and r - opening Y=E(PK, m°x, r) • P V: Open E(PK, x, t)bysending t. • P commits to the value x. • Does not want to reveal it yet

21. Security of the scheme Unforgeability: as before - depends on the strength of E can simulate previous scheme (with access to D(PK , . )) Important property: E(PK, x, t) is a non-malleable commitment (wrt the encryption) to x. Deniability: can run simulator: • Extract xby running with E(PK, garbage, t) and rewinding • Expected polynomial time • Need the semantic security of E - it acts as a commitment scheme

22. Ring Signatures and Authentication Want to keep the sender anonymous by proving that the signer is a member of an ad hoc set • Other members do not cooperate • Use their `regular’ public-keys • Should be indistinguishable which member of the set is actually doing the authentication Bob Alice? Eve

23. Ring Authentication Setting • A ring is an arbitrary set of participants including the authenticator • Each memberiof the ring has a public encryption key PKi • Only iknows the corresponding secret key PSi • To run a ring authentication protocol both sides need to know PK1, PK2, …, PKn the public keys of the ring members ...

24. An almost Good Ring Authentication Protocol Ring has public keys PK1, PK2, …, PKn of encryption scheme E To authenticate messagemwith jth decryption key PSj: V  P: Choose x {0,1}n. SendE(PK1, m°x, r1), E(PK2, m°x, r2), …, E(PKn, m°x, rn) P V: Decrypt E(PKj, m°x, rj), using PSjand SendE(PK1, x, t1), E(PK2, x, t2), …, E(PKn, x, tn) V P: open all the E(PKi, m°x, ri) by Sendx andr1, r2 ,…rn P V: Verify consistency and open allE(PKi, x, ti) by Sendt1, t2 ,…tn Problem: what if not all suffixes (x‘s) are equal

25. The Ring Authentication Protocol Ring has public keys PK1, PK2, …, PKn of encryption scheme E To authenticate messagemwith jth decryption key PSj: V  P: Choose x {0,1}n. SendE(PK1, m°x, r1), E(PK2, m°x, r2), …, E(PK1, m°x, rn) P V: Decrypt E(PKj, m°x, rj), using PSjand SendE(PK1, x1, t1), E(PK2, x2, t2), …, E(PKn, xn, tn) Where x=x1+x2 +  xn V P: open all the E(PKi, m°x, ri) by Sendx andr1, r2 ,…rn P V: Verify consistency and open allE(PKi, x, ti) by Sendt1, t2 ,…tn and x1, x2 ,…, xn

26. Properties of the Scheme • Works with any good encryption scheme - members of the ring are unwilling participants. • Fairly efficient scheme: • Need n encryptions n verifications and one decryption • Can extend the scheme so that convince a verifier that At least k members confirm the message. • What are the social implications of the existence of ring authentication?

27. Summary • Cryptography and Complexity are very active research areas • Research activities in the areas range from • providing firm foundations to the construction of methods • providing actual constructions and analysis for specific needs. • Many unexpected results...

28. Security of the scheme Unforgeability: as before (assuming all keys are well chosen) since E(PK1, x1, t1), E(PK2, x2, t2),…,E(PK1, xn, tn) where x=x1+x2 + L xn is a non-malleable commitment to x Source Hiding: which key was used (among well chosen keys) is • Computationally indistinguishable during protocol • Statistically indistinguishableafter protocol • If ends successfully Deniability: Can run simulator `as before’