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Bayesian Net Password Strength Checker for Security Analysis of Cloud-based Application


Daniel Mago Vistro, Attique Ur Rehman, Muhammad Shoaib Farooq, Adnan Abid and Muhammad Idrees
Abstract

Cloud computing plays an important role in modern world automation and digitalization. On one hand, now a days where people are able to perform their different kind of computing tasks with just one click, on the other hand they face a lot of security threats as the cyber criminals are also busy and active for 24 hours on cloud-based system for different purposes. So, the password is the main significant key which provides base to secure oneself from evil eyes while performing the cloud-based activities. The proposed approach of this article is BNPSC (Bayesian Net Password strength checker), the AI based method is used to compute the complexity of password. For this purpose, the Bayesian net machine learning algorithm is used. The independent set test accuracy of proposed model is 100% and trained accuracy of proposed model is 99%. For simulation and results the dataset is taken from Kaggle.

Volume 12 | 07-Special Issue

Pages: 1599-1602

DOI: 10.5373/JARDCS/V12SP7/20202263