Abstract
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. T
he user’s data
along with his/her behavior performed on the
internet is collected
by using web crawler.
A
popular known dataset
called
UDI
-
Twitter
Crawl 2012 Datase
t
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/
he
r
following and current city. A database is constructed
which is categorized on the basis of
pri
ority using part of speech tagging and some known data structure mentioned in this
paper. In this categorized data some more keywords
are added related to the
data in same
order as listed priority by using
Google AdWords Keyword tool. U
sing permute algorit
hm
,
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 f
rom previous mistakes and also reads user behavior in detecting password.
Users
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