Follow
Hiba Zuhair Zeydan
Hiba Zuhair Zeydan
Asst. Prof. Dr.
Verified email at nahrainuniv.edu.iq
Title
Cited by
Cited by
Year
Feature selection for phishing detection: a review of research
H Zuhair, A Selamat, M Salleh
International Journal of Intelligent Systems Technologies and Applications …, 2016
342016
A multi-tier streaming analytics model of 0-day ransomware detection using machine learning
H Zuhair, A Selamat, O Krejcar
Applied Sciences 10 (9), 3210, 2020
282020
The effect of Feature Selection on Phish Website Detection: an Empirical Study on Robust Feature Subset Selection for Effective Classification
MS H Zuhir, A Selmat
International Journal of Advanced Computer Science and Applications (IJACSA …, 2015
26*2015
Survey of anti-phishing tools with detection capabilities
AS HZ Zeydan
International Symposium on Biometrics and Security Technologies (ISBAST’2014 …, 2014
212014
New Hybrid Features for Phish Website Prediction.
H Zuhair, A Selamat, M Salleh
International Journal of Advances in Soft Computing & Its Applications 8 (1), 2016
172016
SELECTION OF ROBUST FEATURE SUBSETS FOR PHISH WEBPAGE PREDICTION USING MAXIMUM RELEVANCE AND MINIMUM REDUNDANCY CRITERION.
H Zuhair, A Selamat, M Salleh
Journal of Theoretical & Applied Information Technology 81 (2), 2015
172015
Current state of anti-phishing approaches and revealing competencies
HZ Zeydan, A Selamat, M Salleh
J. Theor. Appl. Inf. Technol 70 (3), 507-515, 2014
162014
Phishing Classification Models: Issues and Perspectives
H Zuhair, A Selamat
International Journal of Digital Enterprise Technology 1 (3), 219-240, 2019
152019
RANDS: A Machine Learning-Based Anti-Ransomware Tool for Windows Platforms
H Zuhair, A Selamat
Advancing Technology Industrialization Through Intelligent Software …, 2019
112019
Phishing hybrid feature-based classifier by using recursive features subset selection and machine learning algorithms
H Zuhair, A Selamat
Recent Trends in Data Science and Soft Computing: Proceedings of the 3rd …, 2019
72019
A panoramic evaluation of machine learning and deep learning-aided ransomware detection tools using a hybrid cluster of rich smartphone traits
H Zuhair
Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 387-408, 2022
62022
Data security using random dynamic salting and AES based on master-slave keys for Iraqi dam management system
Hussam J. Ali, Talib M. Jawad, Hiba Zuhair
Indonesian Journal of Electrical Engineering and Computer Science 23 (2 …, 2021
62021
Study on Protection Against Password Phishing
HZ Zeydan, A Selamat, M Salleh
World Applied Sciences Journal 32 (5), 797-801, 2014
22014
Deep Learning in Phishing Mitigation: A Uniform Resource locator-Based Predictive Model
H Sallah, H Zuhair
International Journal of Electrical and Computer Engineering 13 (3), 3227 – 3243, 2023
12023
Catching a Phish: Frontiers of Deep Learning-Based Anticipating Detection Engines
H Salah, H Zuhair
Lecture Notes on Data Engineering and Communications Technologies (LNDECT …, 2022
12022
An empirical analysis of machine learning efficacy in anti-ransomware tools
H Zuhair, A Selamat
AUE Int Res Conf/Dubai 8, 2020
12020
Phish webpage classification using hybrid algorithm of machine learning and statistical induction ratios
H Zuhair, A Selamat
International Journal of Data Mining, Modelling and Management 12 (3), 255-276, 2020
12020
Six Biometrics Identification System (SBIS) Using Feed Forward Back Propagation Neural Network
A Qasim, H Zuhair
TELEMATIQUE 21 (1), 6185 – 6209, 2022
2022
Mitigation of Data Security Threats in Iraqi Dam Management Systems: A Case Study of Fallujah Dam Management System
HJ Ali, H Zuhair, TM Jawad
International Conference of Reliable Information and Communication …, 2020
2020
AN INTELLIGENT AND REAL-TIME RANSOMWARE DETECTION TOOL USING MACHINE LEARNING ALGORITHM
H Zuhair, A Selamat
Journal of Theoretical and Applied Information Technology 97 (23), 3448-3461, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20