On black-box models of computation in cryptology
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Generic group algorithms solve computational problems defined over algebraic groups without exploiting properties of a particular representation of group elements. This is modeled by treating the group as a black-box. The fact that a computational problem cannot be solved by a reasonably restricted class of algorithms may be seen as support towards the conjecture that the problem is also hard in the classical Turing machine model. Moreover, a lower complexity bound for certain algorithms is a helpful insight for the search for cryptanalytic algorithms. Tibor Jager addresses several fundamental questions concerning algebraic black-box models of computation: Are the generic group model and its variants a reasonable abstraction? What are the limitations of these models? Can we relax these models to bring them closer to the reality?
Nákup knihy
On black-box models of computation in cryptology, Tibor Jager
- Jazyk
- Rok vydání
- 2012
Doručení
Platební metody
2021 2022 2023
Navrhnout úpravu
- Titul
- On black-box models of computation in cryptology
- Jazyk
- anglicky
- Autoři
- Tibor Jager
- Vydavatel
- Springer Spektrum
- Rok vydání
- 2012
- ISBN10
- 3834819891
- ISBN13
- 9783834819895
- Série
- Research
- Kategorie
- Počítače, IT, programování
- Anotace
- Generic group algorithms solve computational problems defined over algebraic groups without exploiting properties of a particular representation of group elements. This is modeled by treating the group as a black-box. The fact that a computational problem cannot be solved by a reasonably restricted class of algorithms may be seen as support towards the conjecture that the problem is also hard in the classical Turing machine model. Moreover, a lower complexity bound for certain algorithms is a helpful insight for the search for cryptanalytic algorithms. Tibor Jager addresses several fundamental questions concerning algebraic black-box models of computation: Are the generic group model and its variants a reasonable abstraction? What are the limitations of these models? Can we relax these models to bring them closer to the reality?