Paper Title
Brute Force Attack Detection using Decision Tree Algorithm in Python
Abstract
Any computer system is best protected from outside access using a password at entry level itself. Only authorized
users are allowed to use the system and its resources. Coming to network level, the security issues are high, a strong
password is necessary for all web accessed services, such as for emails, database storage and so on. The most common and
vulnerable attack for any computer network system is a brute force attack where, the password is being guessed by the
hacker by using any password cracking tool. Once the password is obtained the attacker may or may not change the system
files and its operations. Until the attack is discovered by the user, the attacker is using the information of the system in a
passive way. Hence it can be termed under passive attacks. Detection of passive attacks is quite difficult since, there would
be no traces of any alteration in the normal working of the system and its networks. This paper aims to detect brute force
attack for Linux system from its logs, using python coding with the help of decision tree algorithm. Prevention and
protection methods are also being highlighted.
Keywords - Brute Force Attack, Detection Tree Algorithm, iptables, Python, Plots, ssh Logins.