Analysis of neural cryptography

Friday, 24 May 2002, 11:39 AM EST

This analyzes the security of a new key exchange protocol which is based on mutually learning neural networks. This is a new potential source for public key cryptographic schemes which are not based on number theoretic functions, and have small time and memory complexities. In the first part of the paper we analyse the scheme, explain why the two parties converge to a common key, and why an attacker using a similar neural network is unlikely to converge to the same key. However, in the second part of the paper we show that this key exchange protocol can be broken in three different ways, and thus it is completely insecure.

[ Read more ]

Related items




Spotlight

Whitepaper: 10 things your next firewall must do

For enterprises looking at Next-Generation Firewalls, the most important consideration is: will this new technology empower your security teams to securely enable applications to the benefit of the organization? It's not about blocking applications, but safely enabling them.


Weekly newsletter

Reading our newsletter every Monday will keep you up-to-date with security news.
  



Daily digest

Receive a daily digest of the latest security news.
  
DON'T
MISS

Fri, May 29th
    COPYRIGHT 1998-2015 BY HELP NET SECURITY.   // READ OUR PRIVACY POLICY // ABOUT US // ADVERTISE //