[32] Taha, Altyeb. "Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting."Mathematics9, no. 21 (2021): 2799.(ISI indexed IF 2.25 2020)

[31] Taha, A.A., Malebary, S.J. Hybrid classification of Android malware based on fuzzy clustering and the gradient boosting machine. Journal ofNeural Computing and Applications,32,23,2020. (IF 4.6 in 2020)

https://doi.org/10.1007/s00521-020-05450-0

[30] Taha, Altyeb Altaher, and Sharaf Jameel Malebary. "An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine."IEEE Access8 (2020): 25579-25587. (IF 4.8 in 2020)

[29] Altyeb Altaher and Omar M. Barukab ,An Investigation on the Advantages and Limitations of the Current Mobile Applications for Hajj Services, IJCSNS International Journal of Computer Science and Network Security, 2019,19,10, pp 51-55 (ISI Indexed).

[28] Altaher, Altyeb, and Omar M. Barukab. "An Intelligent Hybrid Approach for Predicting the Academic Performance of Students using Genetic Algorithms and Neuro Fuzzy System." (ISI Indexed). INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY 18, no. 10 (2018): 64-70.

[27] Altyeb Altaher, An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features, Journal of Neural Computing And Applications (IF 2.505 in 2016). DOI 10.1007/s00521-016-2708-7, 2016.

[26] Altyeb Altaher, Hybrid approach for sentiment analysis of Arabic tweets based on deep learning model and features weighting, International Journal of Advanced and Applied Sciences (ISI Indexed). Vol. 4, No. 8, 2017, 43-49.

[25] Altyeb Altaher, Phishing Websites Classification using Hybrid SVM and KNN Approach, International Journal of Advanced Computer Science and Applications (ISI Indexed). Vol. 8, No. 6, 2017, 90-95.

[24] Altyeb Altaher and Omar Mohammed Barukab, Intelligent Hybrid Approach for Android Malware Detection based on Permissions and API Calls, International Journal of Advanced Computer Science and Applications(ISI Indexed). Vol. 8, No. 6, 2017, 60-67.

[23] Shubair Abdulla1 and Altyeb Altaher, IHASS: Intelligent and Hybrid Anti-Spam System, International Journal of Computer Networks and Communications Security. Vol.5, No.6,2017, 115-125.

[22] Altyeb Altaher and Omar Mohammed Barukab, Android malware classification based on ANFIS with fuzzy c-means clustering using significant application permissions, Journal of Neural Computing and Applications (IF 0.578 in 2016). Vol. 25, 2017, 2232-2242.

[21] Altyeb Altaher, Using Weighted Bipartite Graph for Android Malware Classification, International Journal of Advanced Computer Science and Applications (ISI Indexed). Vol.8,No.40,2017, 81-86.

[20] Altyeb Altaher and Ahmed Hamza Osman, An Intelligent Approach for Predicting Social

Media Impact on Brand Building, Journal of Theoretical and Applied Information Technology (ISI Indexed). Vol. 95, No. 17, 2017, 4097-4102.

[19] Altyeb Altaher and Omar Mohammed Barukab, Prediction of Student's Academic Performance Based on Adaptive Neuro-Fuzzy Inference, International Journal of Computer Science and Network Security . Vol. 17, No.1, 2014, 165-169.

[11] Altyeb Altaher, CLASSIFICATION OF ANDROID MALWARE APPLICATIONS USING FEATURE SELECTION AND CLASSIFICATIN ALGORITHMS, VAWKUM Transactions on Computer Sciences. Vol. 10, No. 1, 2016,1-5

[18] Shubair Abdulla1 and Altyeb Altaher, Intelligent Approach for Android Malware Detection, TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS (IF 0.452in 2016). Vol. 9, No. 8, 2015,2964-2983

[17] Saad, R. M., Almomani, Altyeb Altaher, A., Gupta, B. B., & Manickam, S, ICMPv6 Flood Attack Detection using DENFIS Algorithms, Indian Journal of Science and Technology . Vol. 7, No. 2, 2014, 168-173.

[16] A Shubair, Sureswaran Ramadass, Altyeb Altaher, kENFIS: kNN-based evolving neuro-fuzzy inference system for computer worms detection, Journal of Intelligent & Fuzzy Systems (IF 1.2 in 2016). Vol.

26, No. 4, 2014, 1893-1908.

[15] Shubair Abdulla, Sureswaran Ramadass, Altyeb Altaher Altyeb, Amer Al-Nassiri,

Employing machine learning algorithms to detect unknown scanning and email worms, Int. Arab J. Inf. Technol., Vol. 11, No. 2, 2014, 140-148.

[14] Ammar Almomani, BB Gupta, Tat-chee Wan, Altyeb Altaher, Selvakumar Manickam,

Phishing dynamic evolving neural fuzzy framework for online detection zero-day phishing email, Indian Journal of Science and Technology, Vol. 6, No. 1, 2013, 3960-3964.

[13] Mohammed Anbar, Ahmed Manasrah, Sureswaran Ramadass, Altyeb Altaher, Ashraf Aljmmal, Ammar Almomani, Investigating Study on Network Scanning Techniques, International Journal of Digital Content Technology and its Applications . Vol. 7, No. 9, 2013, 312-320.

[12] Ammar Almomani, Tat-Chee Wan, Ahmad Manasrah, Altyeb Altaher, M Backlizet, S Ramadas, An enhanced online phishing e-mail detection framework based on evolving connectionist system, International Journal of Innovative Computing, Information and Control(IF 1.6 in 2013). Vol. 9, No. 3,2013, 169-175.

[11] Ammar ALmomani, Tat-Chee Wan, Ahmad Manasrah, Altyeb Altaher, Eman Almomani, Karim Al-Saedi, Ahmad Alnajjar, Sureswaran Ramadass, A survey of learning based techniques of phishing email filtering, International Journal of Digital Content Technology and its Applications . Vol.6, No. 18, 2012, 119-129.

[10] Altyeb Altaher, Sureswaran Ramadass, Andrew Meulenberg, Mustafa Abdat, Ammar Ali, Combined Behavior-and Signature-Based Internet Worm Detection System, International Information Institute (Tokyo). Information . Vol. 15, No. 10, 2012, 4213-4222

[9] Ammar Almomani, Tat-Chee Wan, Altyeb Altaher, Ahmad Manasrah, Eman ALmomani, Mohammed Anbar, Esraa ALomari, Sureswaran Ramadass, Evolving fuzzy neural network for phishing emails detection, Journal of Computer Science . Vol. 8, No. 7, 2012, 1099-1107.

[8] Altyeb Altaher, Ammar ALmomani, Mohammed Anbar, Sureswaran Ramadass, Malware detection based on evolving clustering method for classification, Scientific Research and Essays. Vol. 7,No.22, 2012, 2031-2036.

[7] Altyeb Altaher, Sureswaran Ramadass, Ammar ALmomani, An intelligent approach for malware detection in dual stack IPv4/IPV6 networks, International Journal of Physical Sciences. Vol.7, No. 10, 2012, 1607-1612.

[6] Altyeb Altaher, Ammar Almomani, Sureswaran Ramadass, Application of adaptive neuro-fuzzy inference system for information security, Journal of Computer Science. Vol. 8, No. 6, 2012, 983-986.

[5] Choo Siow Ling, Sureswaran Ramadass, Altyeb Altaher, Navaneethan C Arjuman, Malaysian internet surfing addiction (MISA): Factors affecting the internet use and its consequences, Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on, 2011, 585-590.

[4] Ammar Ali Deeb Al-Mo, Tat-Chee Wan, Karim Al-Saedi, Altyeb Altaher, Sureswaran Ramadass, Ahmad Manasrah, Loai Bani Melhiml, Mohammad Anbar, An online model on evolving phishing e-mail detection and classification method, Journal of Applied Sciences. Vol. 11, 2011, 3301-3307.

[3] Altyeb Altaher, Sureswaran Ramadass, Ammar Ali, Computer virus detection using features ranking and machine learning, Australian Journal of Basic and Applied Sciences. Vol. 5, No. 9, 2011, 1482-1486.

[2] Altyeb Altaher, Sureswaran Ramadass, Bhavani Thuraisingham, Mohammad Mehedy, On-line anomaly detection based on relative entropy, Broadband Network and Multimedia Technology (IC-BNMT), 2011 4th IEEE International Conference on. IEEE, 33-36.

[1] Altyeb Altaher, Sureswaran Ramadass, N Abdelrahman, A Khalid, Network Anomaly Detection and Visualization using Combined PCA and Adaptive Filtering, International Journal of Computer Science and Information Security . Vol. 8, No. 9, 2010, 282-284.