Mouhammd Al-Kasassbeh
Mouhammd Al-Kasassbeh
Professor of computer science, Princess Sumaya University for Technology, Jordan
Bestätigte E-Mail-Adresse bei psut.edu.jo - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Detecting Distributed Denial of Service Attacks Using Data Mining Techniques
M Al-Kasassbeh, G Al-Naymat, A Hassanat, M Almseidin
(IJACSA) International Journal of Advanced Computer Science and Applications …, 2016
722016
Network fault detection with Wiener filter-based agent
M Al-Kasassbeh, M Adda
Journal of Network and Computer Applications 32 (4), 824-833, 2009
612009
Evaluation of machine learning algorithms for intrusion detection system
M Almseidin, M Alzubi, S Kovacs, M Al-kasassbeh
Intelligent Systems and Informatics (SISY), 2017 IEEE 15th International …, 2017
452017
Prediction of PM10 and TSP Air Pollution Parameters Using Artificial Neural Network Autoregressive, External Input Models: A Case Study in Salt, Jordan
M Al-kasassbeh, AF Sheta, H Faris, H Turabieh
Middle-East Journal of Scientific Research 14 (7), 999-1009,, 2013
382013
Analysis of mobile agents in network fault management
M Al-Kasassbeh, M Adda
Journal of Network and Computer Applications 31 (4), 699-711, 2008
342008
AN EMPIRICAL EVALUATION FOR THE INTRUSION DETECTION FEATURES BASED ON MACHINE LEARNING AND FEATURE SELECTION METHODS
M Al-Kasassbeh
Journal of Theoretical and Applied Information Technology 95 (22), 2017
252017
Towards Generating Realistic SNMP-MIB Dataset for Network Anomaly Detection
M Al-Kasassbeh, G Al-Naymat, E Al-Hawari
International Journal of Computer Science and Information Security 14 (No. 9 …, 2016
212016
Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis
H Faris, M Al-kasassbeh, A Rodan
Polish Journal of Environmental Studies 23 (2), 2014
212014
Network intrusion detection with wiener filter-based agent
M Al-Kasassbeh
World Appl. Sci. J 13 (11), 2372-2384, 2011
192011
Color-based object segmentation method using artificial neural network
ABA Hassanat, M Al-kasassbeh, M Al-Awadi, AA Esra'a
Simulation Modelling Practice and Theory 64, 3-17, 2016
172016
Customer churn prediction using a hybrid genetic programming approach
R Obiedat, M Al-kasassbeh, H Faris, O Harfoushi
Scientific Research and Essays 8 (27), 1289-1295, 2013
172013
Colour-based lips segmentation method using artificial neural networks
ABA Hassanat, M Al-kasassbeh, M Al-awadi, AA Esra'a
Information and Communication Systems (ICICS), 2015 6th International …, 2015
162015
On enhancing the performance of nearest neighbour classifiers using hassanat distance metric
M Al-kasassbeh, GA Altarawneh, A Hassanat
Canadian Journal of Pure and Applied Sciences, arXiv preprint arXiv:1501.00687, 2015
162015
A Genetic Programming Model for S&P 500 Stock Market Prediction
A Sheta, H Faris, M Al-kasassbeh
International Journal of Control and Automation 6 (Vol.6, No.5), pp.303-314, 2013
132013
Using machine learning methods for detecting network anomalies within SNMP-MIB dataset
G Al-Naymat, M Al-Kasassbeh, E Al-Hawari
Int. J. Wireless and Mobile Computing 15 (1), 67-76, 2018
122018
Detection of Oil Spills in SAR Images using Threshold Segmentation Algorithms
A Sheta, M Al-kasassbeh, M Braik, H Abu Ayyash
International Journal of Computer Applications 57, 2012
112012
Magnetic energy-based feature extraction for low-quality fingerprint images
ABA Hassanat, VBS Prasath, M Al-kasassbeh, AS Tarawneh, ...
Signal, Image and Video Processing 12 (8), 1471-1478, 2018
102018
Predicting of Surface Ozone Using Artificial Neural Networks and Support Vector Machines
M Al-kasassbeh
International Journal of Advanced Science and Technology. 55, 2013
102013
Comparative Analysis of Clustering Techniques in Network Traffic Faults Classification
K Qader, M Adda, M Al-kasassbeh
International Journal of Innovative Research in Computer and Communication …, 2017
92017
Machine Learning Methods for Network Intrusion Detection
M Al-Kasassbeh, mohammad Almseidi
ICCCNT 2018 - THE 20th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION …, 2018
82018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20