User's Intellectual and Emotional Quality based Password Guessing

摘要

Password cracking, which is an important research field in this technologically advanced world, is a quite sophisticated field and when done for personal benefit is a crime and in this research paper, password is guessed on the basis of user's identity, emotional and intellectual qualities. The user's data along with his/her behavior performed on the internet is collected by using web crawler. A popular known datasct called UDI-Twitter Crawl 2012 Dataset has been used to make the testing process easy by revealing the true nature and identity of person. It contains more than 1500 tweets of a single user, his/her following and current city. A database is constructed which is categorized on the basis of priority using part of speech tagging and some known data structure mentioned in this paper. In this categorized data some more keywords arc added related to the data in same order as listed priority by using Google AdWords Keyword tool. Using permute algorithm, all'possible password combinations are made to crack passwords which are weak in nature. This experiment result is then tested against the most popular tool result known as John the Ripper tool. This unique method has learning capability which learns from previous mistakes and also reads user behavior in detecting password.