الطيب الطاهر الطيب طه

Curriculum Vita

Prof. Dr. Altyeb Altaher

Personal Details

Name	Dr. Altyeb Altaher
Current Position	Professor
Date of Birth	01/01/1974
Nationality	Sudanese
Marital Status	Married
Address	Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Saudi Arabia
Mobile	00966-(0)-552971512
E-mail	aaataha@kau.edu.sa
Personal Homepage	https://aaataha.kau.edu.sa/Default.aspx?Site_ID=0061928&Lng=AR

Education

Post-Doctoral Research Fellow - National Advanced IPv6 Center of Excellence- University Science Malaysia - Malaysia

June 2010 – June 2012

PhD in Computer Science – Khartoum University – Sudan

February 2003 - November 2007

Thesis Title: Measurement and Causes of Self-Similarity in Computer Networks Traffic

Thesis Advisor: Prof. Sami Mohamed Sharif

MSc in Computer Science – Khartoum University – Sudan

September 2001- September 2002

BSc in Computer Science – International University of Africa – Sudan

July 1996 - June 2000

Work Experience

2000 - 2001: Teaching Assistant, Faculty of Computer Science, International University of Africa (IUA), Khartoum, Sudan.
2002 - 2003: Lecturer, Faculty of Computer Science, International University of Africa (IUA), Khartoum, Sudan.
2003- 2007: Head of Department, Faculty of Computer Science, International University of Africa (IUA), Khartoum, Sudan.
2007 - 2010: Assistant Professor, Faculty of Computer Science, University of Science and Technology, Khartoum, Sudan.
2010 - 2012: Post-Doctoral Research Fellow, University Science Malaysia, Penang, Malaysia.
2013 - 2014: Associate Professor, Faculty of Computer Science, University of Science and Technology, Khartoum, Sudan.
2014-2015: Associate Professor, Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.

2015-2016: Head of IT Department, Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.

2016-2017: Associate Professor, Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.

2018-Present: Professor, Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.

2015 - Present: Member of the curriculum Committee at the Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.
2017 - Present: Member of the Academic Accreditation Committee at the Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.
2017 - Present: Member of the curriculum and Academic programs development Committee at the Faculty of Computer Science and Information Technology-Rabigh, King Abdulaziz University, Saudi Arabia.
2017 - Present: Member of teaching assistants and lecturers Affairs Committee.

Prizes and Scholarships

TWAS Regional Prize for Young Scientist from the Third World Academy of Sciences (TWAS), Trieste, Italy.
Post-Doctoral research fellow, University Science Malaysia, Malaysia, 2010 – 2012.

Research interests

Information Security
Data mining
Malware Detection
Network Security

Funded Research Projects by King Abdulaziz University

Project No. 830/863/D1435

Project’s title: Intelligent Approach for Malware Detection in Android Based Smartphones
Project No. 830/45/D1436

Project’s title: Android Malware Detection Using Genetic Algorithm and Adaptive Neuro Fuzzy Inference System
Project No. G-160-830-37

Project’s title: Development of Intelligent Academic Advising System Using Neuro Fuzzy Inference

Workshops & Training

No.	Workshop & Training Title	Duration	Year	Organizer
1	Advanced Research Methodologies	1 day	2010	University Science Malaysia, Malaysia.
2	Certified IPv6 Network Engineer level 1	1 week	2010	University Science Malaysia, Malaysia.
3	Certified IPv6 Network Engineer level 2	1 week	2011	University Science Malaysia, Malaysia.
4	Academician Professional Development	1 day	2011	University Science Malaysia, Malaysia.
5	Advanced Web Development	1 day	2011	University Science Malaysia, Malaysia.
6	LATEX Professional Editing	1 day	2012	University Science Malaysia, Malaysia.
7	IPv6 Network Programming	1 week	2012	University Science Malaysia, Malaysia.
8	Wireless Networking for Science	3 weeks	2013	International Center for Theoretical Physics, Trieste, ITALY
9	Mobile Science and Science Dissemination for the Disabled	2 weeks	2014	International Center for Theoretical Physics, Trieste, ITALY
10	High Performance Computing	1 day	2017	King Abdullah University of Science and Technology (KAUST)
11	Personal Strategy- PART I	1 day	2017	Center for Teaching & Learning Development, King Abdulaziz University

Courses taught to master and undergraduate students

	Course	Year	Degree
1	Development of Mobile Based Applications	2012	MSc.
2	Mobile Wireless Networks	2012	MSc.
3	Computer Networks	2013	MSc.
4	Information Systems Infrastructure	2014	MSc.
5	Information Security	2015	B.Sc.
6	Network Security	2016	B.Sc.
7	Special topics in Computer Networks	2017	B.Sc.

Main supervisor for master students

Name	Thesis Title	Year	Degree
Mr. Mohammed Abd-Elmonem	A Comparative Study of Machine Learning Algorithms for Phishing Email Detection	2012	MSc.
Mrs. Maha Adam Gumaa osman	Using machine learning techniques forworms detection	2012	MSc.
Mr. Ashraf GalalAldeen Ali Omer	Enhanced Screen Video Capture Tool for Lecture Recording	2013	MSc.
Mr. MAHALA ELZAIN BERAIMA	A Comparative Study of ECM, K-MEANS AND FARTHEST FIRST Clustering Algorithms	2013	MSc.
Mr. Abdelrahman Saeed Elhassan Yousif	Development of Speech Recognition Application for the Holy Quran	2014	MSc.
Mrs.Suhanda Safeldeen	Performance Comparison of Ad Hoc on Demand Distance Vector (AODV) and Dynamic MANET On-Demand (DYMO) Routing Protocols	2014	MSc.

Co-Supervised PhD Students at University Sains Malaysia

Name	Thesis Title
Mr. Shubair Abdulkareem Abdullah	An Innovative Evolving Neuro-Fuzzy Inference System For Worm Detection

Publications

ResearcherID: J-9066-2014

Google Scholar : https://scholar.google.com.my/citations?user=6-nRkkEAAAAJ

[32] Taha, Altyeb. "Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting." Mathematics 9, 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 of Neural 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 Access 8 (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.

[5] Sh

[28] 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.

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