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Mouhammd Alkasassbeh
Mouhammd Alkasassbeh
Professor of Computer Science, Princess Sumaya University for Technology, Jordan
Verified email at psut.edu.jo - Homepage
Title
Cited by
Cited by
Year
Evaluation of machine learning algorithms for intrusion detection system
M Almseidin, M Alzubi, S Kovacs, M Alkasassbeh
Intelligent Systems and Informatics (SISY), 2017 IEEE 15th International …, 2017
3322017
Detecting Distributed Denial of Service Attacks Using Data Mining Techniques
M Alkasassbeh, G Al-Naymat, A Hassanat, M Almseidin
(IJACSA) International Journal of Advanced Computer Science and Applications …, 2016
2552016
An efficient reinforcement learning-based Botnet detection approach
M Alauthman, N Aslam, M Alkasassbeh, S Khan, KKR Choo
Journal of Network and Computer Applications 150 (15), 102479, 2020
1352020
Handbook of computer networks and cyber security
BB Gupta, GM Perez, DP Agrawal, D Gupta
Springer 10, 978-3, 2020
1112020
Network fault detection with Wiener filter-based agent
M Alkasassbeh, M Adda
Journal of Network and Computer Applications 32 (4), 824-833, 2009
692009
An Empirical Evaluation For The Intrusion Detection Features Based On Machine Learning And Feature Selection Methods
M Alkasassbeh
Journal of Theoretical and Applied Information Technology 95 (22), 2017
652017
An Anomaly Based Approach for DDoS Attacks Detection in Cloud Environment
A Rawashdeh, M Al-Kasassbeh, M Hawari
International Journal of Computer Applications in Technology 57 (4), 2018
632018
Towards Generating Realistic SNMP-MIB Dataset for Network Anomaly Detection
M Alkasassbeh, G Al-Naymat, E Al-Hawari
International Journal of Computer Science and Information Security 14 (No. 9 …, 2016
622016
Prediction of PM10 and TSP Air Pollution Parameters Using Artificial Neural Network Autoregressive, External Input Models: A Case Study in Salt, Jordan
M Alkasassbeh, AF Sheta, H Faris, H Turabieh
Middle-East Journal of Scientific Research 14 (7), 999-1009,, 2013
602013
Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques
I Obeidat, N Hamadneh, M Alkasassbeh, M Almseidin, MI AlZubi
International Journal of Interactive Mobile Technologies (iJIM) 13 (1), pp …, 2019
592019
Review: Phishing Detection Approaches
AMA Zuraiq, M Alkasassbeh
The 2nd International Conference on New Trends in Computing Sciences, 27-32, 2019
58*2019
Phishing Detection Based on Machine Learning and Feature Selection Method
M Almseidin, AMA Zuraiq, M Alkasassbeh, N Alnidami
International Journal of Interactive Mobile Technologies (iJIM) 13 (12), 2019
572019
Detection of IoT-Botnet Attacks Using Fuzzy Rule Interpolation
M Alkasassbeh, M Almseidin, K Alrfou, S Kovacs
Journal of Intelligent & Fuzzy Systems 39 (1), 2020
512020
Feature selection using a machine learning to classify a malware
M Alkasassbeh, S Mohammed, M Alauthman, A Almomani
Handbook of computer networks and cyber security, 889-904, 2020
502020
Machine Learning Methods for Network Intrusion Detection
M AlKasassbeh, mohammad Almseidi
ICCCNT 2018 - THE 20th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION …, 2018
492018
Using machine learning methods for detecting network anomalies within SNMP-MIB dataset
G Al-Naymat, M Alkasassbeh, E Al-Hawari
Int. J. Wireless and Mobile Computing 15 (1), 67-76, 2018
472018
A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection
M Alkasassbeh
Journal of Computer Sciences 14 (2), 153--162, 2018
402018
Color-based object segmentation method using artificial neural network
ABA Hassanat, M Alkasassbeh, M Al-Awadi, AA Esra'a
Simulation Modelling Practice and Theory 64, 3-17, 2016
402016
Analysis of mobile agents in network fault management
M Alkasassbeh, M Adda
Journal of Network and Computer Applications 31 (4), 699-711, 2008
402008
Comparative Analysis of Clustering Techniques in Network Traffic Faults Classification
K Qader, M Adda, M Alkasassbeh
International Journal of Innovative Research in Computer and Communication …, 2017
392017
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