Fault Analysis of the KATAN Family of Block Ciphers

Abdul Latip, Shekh Faisal (2012) Fault Analysis of the KATAN Family of Block Ciphers. In: Information Security Practice and Experience 2012 (ISPEC 2012), 9 - 12 April 2012, Hangzhou, China.

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Abstract

In this paper, we investigate the security of the KATAN family of block ciphers against differential fault attacks. KATAN consists of three variants with 32, 48 and 64-bit block sizes, called KATAN32,KATAN48 and KATAN64, respectively. All three variants have the same key length of 80 bits. We assume a single-bit fault injection model where the adversary is supposed to be able to corrupt a single random bit of the internal state of the cipher and this fault injection process can be repeated (by resetting the cipher); i.e., the faults are transient rather than permanent. First, we determine suitable rounds for effective fault injections by analyzing distributions of low-degree (mainly, linear and quadratic) polynomial equations obtainable using the cube and extended cube attack techniques. Then, we show how to identify the exact position of faulty bits within the internal state by precomputing difference characteristics for each bit position at a given round and comparing these characteristics with ciphertext differences (XOR of faulty and non-faulty ciphertexts) during the online phase of the attack. The complexity of our attack on KATAN32 is 2^59 computations and about 115 fault injections. For KATAN48 and KATAN64, the attack requires 2^55 computations (for both variants), while the required number of fault injections is 211 and 278, respectively.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Dr. Shekh Faisal Abdul Latip
Date Deposited:	29 May 2012 03:12
Last Modified:	28 May 2015 02:33
URI:	http://eprints.utem.edu.my/id/eprint/3181
Statistic Details:	View Download Statistic

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