Title

Identifying Criminal Activities At The Operating System Level

Keywords

Identifying Criminals; Neural network; Operating System

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.

Publication Date

10-18-2005

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

5778

Issue

PART I

Number of Pages

9-17

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.603044

Socpus ID

26444445119 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/26444445119

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