Author(s): P .Angel, S. Hemalatha
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.2 - Issue 1 (January - 2013)
To improve the trustworthiness of a host and system data cryptographic verification technique is used. From these approach users keystroke to identify the legitimate user”Ēs to get the service from the server by using integrity verification and malicious traffic detection. But the main issue of this approach is keystroke hacking by the bots or autonomous program. The key logger”Ēs records the user”Ēs password or security code and send to the hacker to login the service when the user is no longer online. This project aims to propose a malware detection approach based on the characteristic behaviour of human user”Ēs. Finally explore the human-bots differences by using TUBA (Telling hUman and Bots Apart) thereby prevent bots forgeries. By using classifier algorithm the current work identify the human and malware activities.
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