Identity
Detection of Typist relying on Image Processing
Techniques
Sherif.
T. Amin1,
Magdy. A.
Saeb2,
Marghny. H. Mohammed3
1Student,
Faculty of Science,
The University of Assyut, Assyut, Egypt
2Professor,
Computer Engineering Department,
Arab Academy for
Science, Technology & Maritime Transport,
Alexandria, Egypt
3Assisstant
Professor, Faculty of Computer and Information
Sciences, The
University of Assyut
Abstract:
Global access to information and resources is becoming an
essential part of nearly every aspect of our lives.
Unfortunately, with this global network access comes
increased chances of malicious attack and intrusion. In an
effort to confront the new threats unveiled by the
networking revolution of the past few years reliable, and
rapid means for automatically recognizing the identity of
individuals are now being sought. In this paper we consider
the problem of identifying a user typing on a computer
keyboard, through identification of his behavioral typing
patterns and the time series consisting of keyboard events.
A graphical representation of the user typing behavior in
which frequency domain filtering operations are developed to
robustly extract useful high-level information from the
user's behavioral images, then using cross-correlation as
measure of similarity we can accurately authenticate users.
Our solution is based on simple template matching
methodology. Application of our results could be a
second-layer behaviometric security system continually
testing the current user without interfering with this
user’s work while attempting to identify masquerading users.
We study the effectiveness of our method over a real dataset
consisting of 17 users and 23 attackers.
Keywords:
Behaviometrics, Image Processing, Pattern Matching.
( Full Paper
2.8 MB)
Biography:
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Magdy A. Saeb,
Education: Ph.D., University of
California, Irvine, School of Engineering,
Electrical & Computer Engineering Dept. June, 1985.
MSEE., University of California, Irvine, School of
Engineering, Electrical & Computer Engineering
Dept., June, 1981, BSEE., Cairo University, Cairo,
School of Engineering, Electrical Engineering Dept.,
July,1974. Professional Experience: Professor, Arab
Academy for Science, Tech. & Maritime Transport,
School of Engineering , Computer Engineering (CE)
Dept., Alexandria, Egypt. 1996-to-present Head of
Computer Engineering Dept., Taught graduate &
undergraduate courses in Computer Networks, Parallel
Processing, Computer Organization, Structure of
Programming Languages, System Science, Pascal & C
programming, Computing Algorithms, Discrete
Mathematics and Numerical Analysis. MS. Thesis in CE
advisor, BS. Projects advisor, coordinator of CE/CS
MS. Program. Supervised MS. Thesis in Computer
Network Reliability, NW Router Implementation, FPGA
Implementation of Neural Nets, Visual Information
Retrieval, Encryption Processors, Mobile Agent
Security, Load Balancing Employing Mobile Agents,
FPGA Implementations of Encryption and Steganography
security techniques. He was with Kaiser Aerospace
and Electronics, Irvine California, and The Atomic
Energy Establishment, Anshas, Egypt.
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Marghny H. Mohamed,
Dept. of Computer Science, Faculty of Computers and
Information Science, Asyut University, Asyut,
Egypt., date of birth: June 1965, received the
PhD degree in computer science from the University
of Kyushu, Japan, in 2001, and the MS from Asyut
university in computer science, in 1993 and BS
degrees in Mathematics from Asyut University,
Egypt, in 1988. He is an assistant professor in the
Department of Computer Science, University of Assiut.
He has many publications which in the fields of
Data Mining, Text Mining, Information Retrieval, Web
Mining, Machine Learning, Natural Language
Processing, Pattern Recognition, Neural Networks,
Evolutionary Computation, Fuzzy Systems. Dr. Marghny
is a member of the Egyptian mathematical society and
Egyptian syndicate of scientific professions., he is
a member of some research projects in Asyut
university, Egypt. He is a Manager of the project
Medical Diagnostic System for Endemic Diseases in
Egypt Using Self Organizing Data Mining. |
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Sherif T. Amin,
Education: M.Sc., the University
of York, York, England, Computer Science Dept. June
1995. B.Sc. The University of Asyut, Asyut, Egypt,
Mathematics Dept. June 1989. Professional
Experience: Assistant lecturer at the dept. of
Mathematics, faculty of Science, Asyut University
1995-present. Taught graduate & undergraduate
courses in Mathematics Computer (Architecture,
Security, and Programming). Worked for many years as
System Architect and Developer for large scale
technological projects in which development of a
machine vision technique to be used to find a
suitable solution to map matching problems in order
to be incorporated into a Neural Network Memory was
required. Worked as a Chief Technology
Officer and assistant project manager for a national
winner Thin Client e-learning system.
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BibTex:
@ARTICLE{P1150733007,
AUTHOR = {Sherif. T. Amin and Magdy. A. Saeb
and Marghany. H. Mohammed},
TITLE = {Identity
Detection of Typist relying on Image Processing Techniques},
JOURNAL ={ICGST International Journal on
Graphics, Vision and Image Processing, GVIP},
YEAR = {2007},
VOLUME = {07},
ISSUE ={3},
PAGES={1--8}
}
(Full Paper
2.8 MB)
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