Publication: New Approach in the Rainbow Tables Method for Human-Like Passwords
Дата
2020
Авторы
Alpatskiy, M. A.
Borzunov, G. I.
Epishkina, A. V.
Kogos, K. G.
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
© 2020 IEEE.This paper represents a new approach to rainbow tables, a method of password recovery that was originally developed by Martin E. Hellman and then improved by P. Oechslin, so most of its implementations use Oechslin's modification. An improvement represented in this work mostly lies in the reduction function, which uses character statistics to generate more human-like passwords. Though it generates passwords 5 to 10 times slower than reduction function, which uses direct dependency between hash bytes and the inserted characters, it significantly increases common efficiency in memory (8 to 30 times less memory needed to store these tables) and successful human-like passwords recovery probability, while these tables are generated by the same time as tables with the use of random reduction function.
Описание
Ключевые слова
Цитирование
New Approach in the Rainbow Tables Method for Human-Like Passwords / Alpatskiy, M.A. [et al.] // Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020. - 2020. - P. 2035-2040. - 10.1109/EIConRus49466.2020.9039311