期刊名称:Journal of King Saud University @?C Computer and Information Sciences
印刷版ISSN:1319-1578
出版年度:2022
卷号:34
期号:4
页码:1357-1361
语种:English
出版社:Elsevier
摘要:It is proposed to tackle the problem of password leakage of popular websites like Linked-In, Adobe, Gmail, Yahoo, eHarmony, etc. by using dynamic password policy and enhanced hash algorithm. Here, an algorithm is developed that will generate password policies dynamically depending on the frequency of characters. Time complexity is computed, and it is found that the algorithm works fast. Since the algorithm creates password policies dynamically, it will be tough for the attacker to guess the characteristics of the password database.