Abstract
Terrestrial Trunked Radio (TETRA) is the most frequencyefficient standard for mobile communication and its architecture is fully scalable, from a large high-capacity system to a low-capacity system. In the TETRA standard, various attacks such as a reply attack can occur and the key-establishment scheme used in the TETRA standard requires high communication costs. In this paper, we propose an efficient group key agreement in TETRA networks that guarantees secure communication among light-weight mobile stations. That is, computation cost per mobile station is very low, only requires XOR operation on-line, and our scheme allows mobile stations and a base station to agree a group key with 1-round complexity.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 400-409 |
| Number of pages | 10 |
| Volume | 4362 LNCS |
| Publication status | Published - 2007 Dec 1 |
| Event | 33rd Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2007 - Harrachov, Czech Republic Duration: 2007 Jan 20 → 2007 Jan 26 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4362 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 33rd Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2007 |
|---|---|
| Country | Czech Republic |
| City | Harrachov |
| Period | 07/1/20 → 07/1/26 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Efficient group key agreement for dynamic TETRA networks. / Su, Mi Lee; Su, Youn Lee; Lee, Dong Hoon.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4362 LNCS 2007. p. 400-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4362 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficient group key agreement for dynamic TETRA networks
AU - Su, Mi Lee
AU - Su, Youn Lee
AU - Lee, Dong Hoon
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Terrestrial Trunked Radio (TETRA) is the most frequencyefficient standard for mobile communication and its architecture is fully scalable, from a large high-capacity system to a low-capacity system. In the TETRA standard, various attacks such as a reply attack can occur and the key-establishment scheme used in the TETRA standard requires high communication costs. In this paper, we propose an efficient group key agreement in TETRA networks that guarantees secure communication among light-weight mobile stations. That is, computation cost per mobile station is very low, only requires XOR operation on-line, and our scheme allows mobile stations and a base station to agree a group key with 1-round complexity.
AB - Terrestrial Trunked Radio (TETRA) is the most frequencyefficient standard for mobile communication and its architecture is fully scalable, from a large high-capacity system to a low-capacity system. In the TETRA standard, various attacks such as a reply attack can occur and the key-establishment scheme used in the TETRA standard requires high communication costs. In this paper, we propose an efficient group key agreement in TETRA networks that guarantees secure communication among light-weight mobile stations. That is, computation cost per mobile station is very low, only requires XOR operation on-line, and our scheme allows mobile stations and a base station to agree a group key with 1-round complexity.
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M3 - Conference contribution
AN - SCOPUS:38149013853
SN - 9783540695066
VL - 4362 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 400
EP - 409
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -