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Conference paper

Cryptanalysis of Tav-128 hash function

From

Indian Institute of Technology Kharagpur1

Indraprastha Institute of Information Technology Delhi2

Discrete mathematics, Department of Mathematics, Technical University of Denmark3

Department of Mathematics, Technical University of Denmark4

Iran University of Science and Technology5

Many RFID protocols use cryptographic hash functions for their security. The resource constrained nature of RFID systems forces the use of light weight cryptographic algorithms. Tav-128 is one such 128-bit light weight hash function proposed by Peris-Lopez et al. for a low-cost RFID tag authentication protocol.

Apart from some statistical tests for randomness by the designers themselves, Tav-128 has not undergone any other thorough security analysis. Based on these tests, the designers claimed that Tav-128 does not posses any trivial weaknesses. In this article, we carry out the first third party security analysis of Tav-128 and show that this hash function is neither collision resistant nor second preimage resistant.

Firstly, we show a practical collision attack on Tav-128 having a complexity of 237 calls to the compression function and produce message pairs of arbitrary length which produce the same hash value under this hash function. We then show a second preimage attack on Tav-128 which succeeds with a complexity of 262 calls to the compression function.

Finally, we study the constituent functions of Tav-128 and show that the concatenation of nonlinear functions A and B produces a 64-bit permutation from 32-bit messages. This could be a useful light weight primitive for future RFID protocols.

Language: English
Publisher: Springer
Year: 2010
Pages: 118-130
Proceedings: 11th International Conference on Cryptology in India
Series: Lecture Notes in Computer Science
Journal subtitle: 11th International Conference on Cryptology in India
ISBN: 1280390549 , 3642174000 , 3642174019 , 9781280390548 , 9783642174001 and 9783642174018
ISSN: 03029743
Types: Conference paper
DOI: 10.1007/978-3-642-17401-8_10

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