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
Su, M. L., Su, Y. L., & Lee, D. H. (2007). Efficient group key agreement for dynamic TETRA networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4362 LNCS, pp. 400-409). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4362 LNCS).