![]() For instance, state-of-the-art password guessing studies such as PassGAN and rPassGAN adopted a Generative Adversarial Network (GAN) and used it to generate high-quality password guesses without knowledge of password structures. To overcome this limitation, a recent trend has been to apply machine learning techniques to research on password cracking. However, their rule-based cracking has an explicit limitation of depending on password-cracking experts to come up with creative rules. Hashcat and John the Ripper are the most popular cracking tools, allowing users to crack millions of passwords in a short time. Due to its importance, password cracking has been vibrantly researched both for offensive and defensive purposes. Despite their well-known weaknesses, passwords are still the de-facto authentication method for most online systems.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |