Mathematical Modelling for Next-Generation Cryptography
Details
The first book to focus on areas that have not yet been fully exploited for cryptographic applications, such as representation theory and mathematical physics
Contributes to a better understanding of the current state of modern cryptography Develops new advanced mathematical techniques and their applications in next-generation cryptography Presents contributions by leading international researchers in the field of cryptography, representation theory, number theory, and quantum physics, among others
Autorentext
Tsuyoshi Takagi
Professor, Kyushu University, Institute of Mathematics for Industry
Masato Wakayama
Professor, Kyushu University, Institute of Mathematics for Industry
Keisuke Tanaka
Associate Professor, Tokyo Institute of Technology, Department of Mathematical and Computing Sciences
Noboru Kunihiro
Associate Professor, The University of Tokyo, Graduate School of Frontier Sciences
Kazufumi Kimoto
Professor, University of the Ryukyus, Department of Mathematical Sciences
Dung Hoang Duong
Assistant Professor, Kyushu University, Institute of Mathematics for Industry
Inhalt
- Algebraic Geometry.- 2. Number Theory.- 3. Theory of Computation.- 4. Quantum Computation.- 5. Quantum Field Theory.- 6. Mathematical Physics.- 7. Representation Theory.- 8. Lattice Theory.- 9. Multivariate Polynomial Theory.- 10. Data Encryption.- 11. Digital Signature.- 12. Searchable Encryption.- 13. Obfuscation.- 14. Privacy Protection.- 15. Copyright Protection.- 16. ID-Based Encryption.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811353093
- Editor Tsuyoshi Takagi, Masato Wakayama, Dung Hoang Duong, Noboru Kunihiro, Kazufumi Kimoto, Keisuke Tanaka
- Sprache Englisch
- Auflage Softcover reprint of the original 1st edition 2018
- Größe H235mm x B155mm x T21mm
- Jahr 2018
- EAN 9789811353093
- Format Kartonierter Einband
- ISBN 9811353093
- Veröffentlichung 23.12.2018
- Titel Mathematical Modelling for Next-Generation Cryptography
- Untertitel CREST Crypto-Math Project
- Gewicht 569g
- Herausgeber Springer Nature Singapore
- Anzahl Seiten 376
- Lesemotiv Verstehen
- Genre Informatik