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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(4): 354-358 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.436

Human Computer Interaction Activity Based User Identification

Tongda Zhang, Xiao Sun, Yueting Chai, and Hamid Aghajan
Abstract—In this paper, an intensive study is performed on the dataset that contains people’s activity records of computer usage, and a multi-feature based user identification algorithm is developed. It is shown that features generated from user’s program/process start up history and website access records are extremely effective to differentiate people from each other. The proposed algorithm exploits this fact for identifying user by matching user’s current behavior features with the history feature library. The experimental results show that the proposed multi-feature based algorithm can achieve 91.2% user identification accuracy.

Index Terms—User identification, computer using behavior, feature matching, feature combination.

Tongda Zhang is with the Electrical Engineering Department, Stanford University, Stanford, CA 94305 USA (e-mail: tdzhang@stanford.edu).
Xiao Sun is with National Engineering Laboratory for E-Commerce Technology, Tsinghua University, Beijing, China; DNSLAB, China Internet Network Information Center, Beijing 100190, China (e-mail: sunx11@mails.tsinghua.edu.cn).
Yueting Chai is with the National Engineering Laboratory for E-Commerce Technology, Tsinghua University, Beijing, China (e-mail: chaiyt@mail.tsinghua.edu.cn).
Hamid Aghajan is with the Department of Electrical Engineering, Stanford University, and the Department of Telecommunication and Informatics in Gent University, Belgium (e-mail: hamid@icdsc.org).

[PDF]

Cite: Tongda Zhang, Xiao Sun, Yueting Chai, and Hamid Aghajan, "Human Computer Interaction Activity Based User Identification," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 354-358, 2014.

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