Implementation of 'Habit sensitive login system' An approach to strengthen the login security
Providing reliable security to the computer user without
overstepping any of the privacy related issues is the
biggest challenge faced by the computer technologists
now a day. An attempt is made herein to tailor a solution
based on the personality features of an individual as a
factor of identification and authentication. The traditional
approach based on verification of the username and the
password is insufficient. Hence, a new approach is needed
to be introduced so as to make the existing login process
more secure. To achieve the goal one can use the
advantages of data mining techniques as well as the
algorithms similar to the apriori algorithm. The suggested
method is based on detection of intrusions at the time of
logon. The system so designed; not only by verifies the
username and password but also verifies the user's
behavior in comparison with the 'recorded normal
behavior' of the user. The experiments carried herein are
fruitful in recognizing the user by their 'habits as
behavior'. And hence the system based on the approach is
practicable in real sense.
Keywords: security, user behavior, habit, apriori
algorithm, data mining, intrusion detection
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