Journal of Cryptology

, Volume 20, Issue 1, pp 115–149 | Cite as

Trapdoor Hard-to-Invert Group Isomorphisms and Their Application to Password-Based Authentication

  • Dario Catalano
  • David Pointcheval
  • Thomas Pornin


In the security chain the weakest link is definitely the human one: human beings cannot remember long secrets and often resort to rather insecure solutions to keep track of their passwords or pass-phrases. For this reason it is very desirable to have protocols that do not require long passwords to guarantee security, even in the case in which exhaustive search is feasible. This is actually the goal of password-based key exchange protocols, secure against off-line dictionary attacks: two people share a password (possibly a very small one, say a 4-digit number), and after the protocol execution, they end up sharing a large secret session key (known to both of them, but nobody else). Then an adversary attacking the system should try several connections (on average 5000 for the above short password) in order to be able to get the correct password. Such a large number of erroneous connections can be prevented by various means. Our results can be highlighted as follows. First we define a new primitive that we call trapdoor hard-to-invert group isomorphisms, and give some candidates. Then we present a generic password-based key exchange construction that admits a security proof assuming that these objects exist. Finally, we instantiate our general scheme with some concrete examples, such as the Diffie-Hellman function and the RSA function, but more interestingly the modular square-root function, which leads to the first scheme with security related to the integer factorization problem. Furthermore, the latter variant is very efficient for one party (the server). Our results hold in the random-oracle model.


Random Oracle Group Isomorphism Dictionary Attack Jacobi Symbol Polynomial Time Turing Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© International Association for Cryptologic Research 2006

Authors and Affiliations

  1. 1.CNRS-LIENS, Ecole Normale SuperieureParisFrance
  2. 2.CryptologParisFrance

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