Infringement of Prevention Technique against Keyloggers using Sift Attack

Abstract

Keylogger is a spyware program that can record keystrokes and mouse click along with cursor movements for spying confidential information such as password. There are so many applications have been developed till now that recognizes keylogger programs and act like an antivirus software but there are so many keyloggers that can run without any interruption or failing antivirus programs to recognize itself. But there is a newly introduced technique has been proposed that claims for concealing password among bots key press that transforms actual password in an unreadable or encrypted patterns. But the technique can be cracked by analyzing key prints and its interval. Every time an actual keystroke conceals among few predefined bots keystrokes, but in a particular session; the same string gets printed. In a session, same encryption string can retrieve actual keystrokes or password by analyzing it and if a password is retrieved in a single session then no another encryption string can confuse keylogger or attacker because password has already been stolen that can be enrolled later. Sift attack is an attack based on deep analysis that allows extracting information on the basis of algorithm. This paper proposes a concept that can break security approach made against keylogger that may conceal passwords.