Abstract
A stream cipher is an important class of encryption algorithms. Its safety depends on the structure of the pseudorandom number generator used. There are various types of pseudo-random number generators in existence, and attack algorithms used on them have been studied individually. In this paper, we express the problem of attacks on a general stream cipher as a probabilistic inference problem, and formulate the optimal key estimation. We also propose a unified framework of attack algorithms that can be applied to a wide variety of stream ciphers. The optimal key estimation, however, has computational complexity. To reduce the complexity, an approximation algorithm based on a probabilistic inference is proposed. We also describe some attack algorithms used on practical pseudorandom number generators. Finally, the proposed algorithm is evaluated by through a computer simulation.
| Original language | English |
|---|---|
| Title of host publication | 2012 International Symposium on Information Theory and Its Applications, ISITA 2012 |
| Pages | 531-535 |
| Number of pages | 5 |
| Publication status | Published - 2012 |
| Event | 2012 International Symposium on Information Theory and Its Applications, ISITA 2012 - Honolulu, HI Duration: 2012 Oct 28 → 2012 Oct 31 |
Other
| Other | 2012 International Symposium on Information Theory and Its Applications, ISITA 2012 |
|---|---|
| City | Honolulu, HI |
| Period | 12/10/28 → 12/10/31 |
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ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
Cite this
The optimal key estimation of stream ciphers and its approximation algorithm based on a probabilistic inference. / Iikubo, Yuji; Horii, Shunsuke; Matsushima, Toshiyasu.
2012 International Symposium on Information Theory and Its Applications, ISITA 2012. 2012. p. 531-535 6400993.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The optimal key estimation of stream ciphers and its approximation algorithm based on a probabilistic inference
AU - Iikubo, Yuji
AU - Horii, Shunsuke
AU - Matsushima, Toshiyasu
PY - 2012
Y1 - 2012
N2 - A stream cipher is an important class of encryption algorithms. Its safety depends on the structure of the pseudorandom number generator used. There are various types of pseudo-random number generators in existence, and attack algorithms used on them have been studied individually. In this paper, we express the problem of attacks on a general stream cipher as a probabilistic inference problem, and formulate the optimal key estimation. We also propose a unified framework of attack algorithms that can be applied to a wide variety of stream ciphers. The optimal key estimation, however, has computational complexity. To reduce the complexity, an approximation algorithm based on a probabilistic inference is proposed. We also describe some attack algorithms used on practical pseudorandom number generators. Finally, the proposed algorithm is evaluated by through a computer simulation.
AB - A stream cipher is an important class of encryption algorithms. Its safety depends on the structure of the pseudorandom number generator used. There are various types of pseudo-random number generators in existence, and attack algorithms used on them have been studied individually. In this paper, we express the problem of attacks on a general stream cipher as a probabilistic inference problem, and formulate the optimal key estimation. We also propose a unified framework of attack algorithms that can be applied to a wide variety of stream ciphers. The optimal key estimation, however, has computational complexity. To reduce the complexity, an approximation algorithm based on a probabilistic inference is proposed. We also describe some attack algorithms used on practical pseudorandom number generators. Finally, the proposed algorithm is evaluated by through a computer simulation.
UR - http://www.scopus.com/inward/record.url?scp=84873548587&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873548587&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9784885522673
SP - 531
EP - 535
BT - 2012 International Symposium on Information Theory and Its Applications, ISITA 2012
ER -