Identifying criminal activities at the operating system level

Khaled Hussain; Sampada Sapre; Poonam Hajgude

doi:10.1117/12.603044

20 May 2005 Identifying criminal activities at the operating system level

Khaled Hussain, Sampada Sapre, Poonam Hajgude

Proceedings Volume 5778, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV; (2005) https://doi.org/10.1117/12.603044
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

This paper presents a scheme to support curtailing illegal activities that are carried out with the help of computers. The paper focuses on determining criminal character of a user by analyzing user’s interactions with the computer at the operating system level. Doing this at the operating system level gives an advantage of catching all interactions of the user with the computer. User interaction information is obtained during the system use and this information is classified using neural network. Neural network does the processing to obtain the criminal character of the user. A sample test was conducted on 200 different users (50 criminal users and 150 normal users). The results reported show that the proposed system is practical and accurate.

Citation Download Citation

Khaled Hussain, Sampada Sapre, and Poonam Hajgude "Identifying criminal activities at the operating system level", Proc. SPIE 5778, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, (20 May 2005); https://doi.org/10.1117/12.603044

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