A framework for detection and prevention of novel keylogger spyware attacks

Abstract

Cyber world is susceptible to various attacks, out of which malware attack is the malignant one. It is very difficult to detect and defend. A keylogger spyware contains both scripts keylogger and spyware in a single program. The functionality of this program is that it can capture all key strokes which are pressed by a system user and stores them in a log file, the spyware email this log file to the designer's specified address. It is very harmful for those systems which are used in daily transaction process i.e. online banking system. The prevention of these attacks is necessary. In this paper we have proposed a framework for detection and prevention of novel keylogger spyware attack. It is capable to defend against such kind of attacks.