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PERSONAL INFORMATION
Full Name: Dr. Hiba Zuhair Zeydan
Nationality: Iraq Degree: PhD Academic Title: Lecturer College\Center: College of Information Engineering
Departement: - Mother Language: Arabic Work email: hiba.zuhair.pcs2013@nahrainuniv.edu.iq Personal email: hiba.zuhir@coie-nahrain.edu.iq
LINKS
Publications
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A Multi-Tier Streaming Analytics Model of 0-Day Ransomware Detection Using Machine Learning
H Zuhair, A Selamat, O Krejcar, 2020
Applied Sciences, 10, (9), 3210 -
An Empirical Analysis of Machine Learning Efficacy in Anti-Ransomware Tools
H Zuhair, A Selamat, 2020 -
Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios
H Zuhair, A Selamat, 2020
International Journal of Data Mining, Modelling and Management, 12, (3), 255-276
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Phishing Classification Models: Issues and Perspectives
H Zuhair, A Selamat, 2019
International Journal of Digital Enterprise Technology, 1, (3), 219-240 -
AN INTELLIGENT AND REAL-TIME RANSOMWARE DETECTION TOOL USING MACHINE LEARNING ALGORITHM
H Zuhair, A Selamat, 2019
Journal of Theoretical and Applied Information Technology, 97, (23), 3448-3461 -
RANDS: A Machine Learning-Based Anti-Ransomware Tool for Windows Platforms
H Zuhair, A Selamat, 2019
Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 318, 573-587 -
Phishing Classification Models an Empirical Study of Induction Factors for Effective Classification
H Zuhair, A Selamat, 2019
2017 Second Al-Sadiq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA), 125 - 129
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Phishing hybrid feature-based classifier by using recursive features subset selection and machine learning algorithms
H Zuhair, A Selamat, 2018
International Conference of Reliable Information and Communication Technology, 267-277
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Phishing Classification Models: issues and perspectives
H Zuhair, A Selamat, 2017
In the Proceeding of IEEE Conference on Open systems (ICOS2017), 26-31 -
HYBRID FEATURES-BASED PREDICTION FOR NOVEL PHISH WEBSITES
H Zuhair, M Salleh, A Selamat, 2017
JURNAL TEKNOLOGI, 78, (12-3), 95-109
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Feature selection for phishing detection: a review of research
H Zuhair, A Selamat, M Salleh, 2016
International Journal of Intelligent Systems Technologies and Applications, 15, (2), 147-162 -
New Hybrid Features for Phish Website Prediction.
H Zuhair, A Selamat, M Salleh, 2016
International Journal of Advances in Soft Computing & Its Applications, 8, (1)
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The effect of Feature Selection on Phish Website Detection: an Empirical Study on Robust Feature Subset Selection for Effective Classification
M Zuhir, A Selmat, 2015
International Journal of Advanced Computer Science and Applications (IJACSA), 6, (10), 221-232 -
SELECTION OF ROBUST FEATURE SUBSETS FOR PHISH WEBPAGE PREDICTION USING MAXIMUM RELEVANCE AND MINIMUM REDUNDANCY CRITERION.
H Zuhair, A Selamat, M Salleh, 2015
Journal of Theoretical & Applied Information Technology, 81, (2) -
New Hybrid Features for Phish Website Prediction
Z Hiba, S Ali, S Mazleena, 2015
3rd International Conference on Computational and Social Sciences (ICCSS'2015); Johor Bahru, Malaysia, 28-43 -
Discriminative Features for Phishing Filtering
Z Hiba, S Ali, S Mazleena, 2015
International Postgraduate Conference on Social Science, Science, and Technology (IWNEST-PGTS-IPCSSST2015);Kota Kinabalu,Malaysia -
New Discriminative Features for Phishing Filtering
H Zeydan, A Selamat, M Salleh, 2015
IPCSSST2015-KOTA KINABALU-MALAYSIA 2015 -
Features Selection for Phishing Detection: a review of research
H Zeydan, A Selamat, M Salleh, 2015
Proceedings of 1st ICRIL-International Conference on Innovation in Science and Technology (IICIST’2015), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia, 285-288 -
New Discriminative Features for Phishing Filtering
H Zeydan, A Selamat, M Salleh, 2015
Australian Journal of Basic and Applied Sciences, 9, (26), 83-88
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Survey of anti-phishing tools with detection capabilities
A Zeydan, 2014
International Symposium on Biometrics and Security Technologies (ISBAST’2014). Kuala Lumpur, Malaysia, 214-219 -
Current state of anti-phishing approaches and revealing competencies
H Zeydan, A Selamat, M Salleh, 2014
J. Theor. Appl. Inf. Technol, 70, (3), 507-515 -
Study on Protection Against Password Phishing
H Zeydan, A Selamat, M Salleh, F Computing, 2014
World Applied Sciences Journal, 32, (5), 797-801
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Blocks-Based Data Hiding Approach for Electronic Cheque Authentication
H Zeydan, 2012
Al-Nahrain Journal of Science, 15, (3), 196-202
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PASSPORT-G AUTHENTICATION METHOD BASED ON VAPOR-MARK BEARER'S PHOTO
H Zeydan, 2009
Journal Nahrain University Science, 12, (1), 156-161
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HAND SHAPE ALIGNMENT-BASED RECOGNITION METHOD
H Zeydan, 2008
Journal Nahrain University Science, 11, (2), 152-159
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Phishing Classification Models
H Zuhair, A Selamat
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