Comodo Research Lab Cryptography Department announce the availability of MIST: An Efficient, Randomized Exponentiation Algorithm for Resisting Power Analysis
Kent, UK, 21 February 2002. The Comodo Research Lab Cryptography Department, headed by Dr Colin Walter, are today pleased to announce the availability of MIST: a groundbreaking algorithm allowing Smart Cards to resist differential power analysis (DPA). The MIST publication abstract is available below, and the full paper is available here.
MIST Publication Abstract:
The Mist algorithm generates randomly different addition chains for performing a particular exponentiation. This means that power attacks which require averaging over a number of exponentiation power traces becomes impossible. Moreover, attacks which are based on recognising repeated use of the same pre-computed multipliers during an individual exponentiation are also infeasible. The algorithm is particularly well suited to cryptographic functions which depend on exponentiation and which are implemented in embedded systems such as smart cards. It is more efficient than the normal square-and-multiply algorithm and uses less memory than 4-ary exponentiation.
The Comodo companies provide the infrastructure that is essential in enabling e-merchants, other Internet-connected companies, software companies, and individual consumers to interact and conduct business via the Internet safely and securely. The Comodo companies offer PKI SSL, Code Signing, Content Verification and Email Certificate; award winning PC Security software; Vulnerability Scanning services for PCI Compliance; secure e-mail and fax services.
Continual innovation, a core competence in PKI, and a commitment to reversing the growth of Internet-crime distinguish the Comodo companies as vital players in the Internet’s ongoing development. Comodo secures and authenticates online transactions and communications for over 200,000 business customers and 3,000,000 users of our desktop security products.
For additional information on Comodo – Creating Trust Online® visit Comodo.com
For more information, reporters and analysts may contact:
Office: +1 (888) 266-6361