Faculty Members

Dr.Montassr Mabrouk Belgacem Zaghdoud

دكتورا في تخصص نظم المعلومات Assistant Professor Department of Information Systems College of Business Administration in Hotat Bani Tamim

Hotat Bani Tam
011-588-7570
zaghdoud@psau.edu.sa

Curriculum Vitae
Publications

Publications

Journal papers
- Moussaoui, M., Zaghdoud M., Akaichi, J., Possibilistic Framework for the Detection of Terrorism-related Twitter Communities in Social Media., Concurrency and Competition 2018.
- Nouha Khédiri , M. Zaghdoud, “ Survey of Uncertainty Handling in Cloud Service Discovery and Compositon”, International Journal on Cloud Computing: Services and Architecture (IJCCSA, ISSN : 2231 - 5853) ,Vol. 4,No. 6, December 2014.
- M. Zaghdoud, Mohamed Saeed Al-Kahtani: “Contextual Fuzzy Cognitive Map for Intrusion Response System”, IJCT: International Journal of Computer and Information Technology (ISSN: 2279 – 0764) Volume 02– Issue 3, May 15, 2013.
- Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS”, International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 62-71, September 2009, USA
- Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , , “Intrusion Detection based on Hybrid propagation in Bayesian Networks”, the JIAS International Journal of Information Assurance and Security, Special Issue (Vol. 5), 2009
- Elayeb, B., Evrard, F., Zaghdoud, M. & Ahmed, M.B. (2009). Towards an Intelligent Possibilistic Web Information Retrieval Using Multiagent System. Interactive Technology and Smart Education, 6(1), Volume 6, Number 1, 2009 ISSN 1741-5659.
https://www.learntechlib.org/p/75900/
Book chapters
- Moussaoui, M. Zaghdoud, M. Akaichi, J. Clustering Social Network Profiles Using Possibilistic C-means Algorithm Interactive Multimedia Systems and Services 2017. Springer, Pages 419-428.
- Moussaoui, M. Zaghdoud , M. Akaichi, J. POSGRAMI: Possibilistic Frequent Subgraph Mining in a Single Large Graph. Information Processing and Management of Uncertainty in Knowledge-Based Systems 2016. Springer, Pages 549–561.
International conference papers
- Moussaoui, M. Zaghdoud, M., Akaichi, J. A New Framework of Frequent Uncertain Subgraph Mining KES 2018, Belgrade, Serbia.
- Moussaoui, M. Zaghdoud, M., Akaichi, J. Clustering Social Network Profiles using Possibilistic C-means Algorithm KES-IIMS 2017, Vilamoura, Portugal.
- Moussaoui, M. Zaghdoud, M., Akaichi, J. POSGRAMI : Possibilistic Frequent Subgraph Mining in a Single Large Graph IPMU 2016, Eindhoven, Nedherlands.
- Moussaoui, M. Zaghdoud, M., Akaichi, J. A survey of uncertainty handling in frequent subgraph mining algorithms AICCSA 2015, Marrakech, Morocco.
Moussaoui, M. Zaghdoud, M., Akaichi, J. Structural-semantic approach for approximate frequent subgraph mining AICCSA 2015, Marrakech, Morocco.
Attack Prediction based on Hybrid propagation in Bayesian Networks. In Proceedings of the ICITST'09 IEEE International Conference on Internet Technology and Secured Transactions, 2009, London, United Kingdom
Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “Attack Correlation and Prediction System based on Possibilistic Networks”. In Proceedings of the IADIS’08 International Conference Applied Computing, 2008, Algarve, Portugal
Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “A Framework for an Adaptive Intrusion Detection System using Bayesian Network”. In Proceedings of the ISI’07 IEEE International Conference on Intelligence and security informatics, 2007, New Brunswick/NJ, USA
Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “Comparative study between Bayesian Network and Possibilistic Network in Intrusion Detection”. In Proceedings of the SECRYPT'06 International Conference on Security and Cryptography, 2006, Setubal, Portugal
Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “DIDFAST.BN: Distributed Intrusion Detection and Forecasting multi-agent System using Bayesian Network”. In Proceedings of the ICTTA'06 2nd IEEE International Conference on Information & Communication technologies : from theory to applications, 2006, Damascus, Syria
Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed , “DIDFAST.PN: Distributed Intrusion Detection and Forecasting multi-agent System using Possibilistic Network”. In Proceedings of the IADIS’06 International Conference Applied Computing, 2006, San Sebastian, Spain.
Bilel Elayeb, Fabrice Evrard, Montaceur Zaghdoud, Mohamed Ben Ahmed. “A qualitative approach for an intelligent possibilistic web information retrieval using multiagent system”, International Conference on Human System Learning, Common Innovation in e-learning, Machine Learning and Humanoid, Manufacture des Tabacs, Toulouse 1 University, 14/05/08-16/05/08, Université Toulouse 1 , (en ligne), mai 2008.
Bilel Elayeb, Fabrice Evrard, Montaceur Zaghdoud, and Mohamed Ben Ahmed, “SARIPOD: A Possibilistic System For Web Information Retrieval”, In The 2ndinternational conference on Internet Technologies and Applications (ITA’07), Grout V., Oram D., et Picking R., (Eds), pp. 82-91, Wrexham Wales (UK), 2007.
Bilel Elayeb, Fabrice Evrard, Montaceur Zaghdoud, and Mohamed Ben Ahmed ,“SARIPOD: Multiagent Possibilistic System For Web Information Retrieval”, Proceedings of the 2007 International Conference on Information and Knowledge Engineering, {IKE} 2007, June 25-28, 2007, Las Vegas, Nevada, USA.
Najla Arfaoui, Farah Jemili, Montaceur Zaghdoud and Mohamed Ben Ahmed, “Comparative Study between Bayesian Network and Possibilistic Network in Intrusion Detection”, SECRYPT2006, Proceedings of the International Conference on Security and Cryptography, Setubal, Portugal, August 7-10, 2006,

To call from inside the university 1200
To call from outside the university 011-588-1200
E-mail pr@psau.edu.sa
To request a service and open a fault report ithelp.psau.edu.sa

Dr.Montassr Mabrouk Belgacem Zaghdoud

Publications

Contact the university leaders

Administration of Public Relations and Media

Social

Faculty Members

Dr.Montassr Mabrouk Belgacem Zaghdoud

Publications

Administration of Public Relations and Media