Mouhammd Alkasassbeh
Title
Cited by
Cited by
Year
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
1152016
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
1032017
Network fault detection with Wiener filter-based agent
M Alkasassbeh, M Adda
Journal of Network and Computer Applications 32 (4), 824-833, 2009
622009
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
462013
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
362017
Analysis of mobile agents in network fault management
M Alkasassbeh, M Adda
Journal of Network and Computer Applications 31 (4), 699-711, 2008
352008
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
292016
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
282020
Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis
H Faris, M Alkasassbeh, A Rodan
Polish Journal of Environmental Studies 23 (2), 2014
282014
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
242019
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
232016
Network intrusion detection with wiener filter-based agent
M Alkasassbeh
World Appl. Sci. J 13 (11), 2372-2384, 2011
232011
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
202013
On enhancing the performance of nearest neighbour classifiers using hassanat distance metric
M Alkasassbeh, GA Altarawneh, A Hassanat
Canadian Journal of Pure and Applied Sciences, arXiv preprint arXiv:1501.00687, 2015
182015
Machine Learning Methods for Network Intrusion Detection
M AlKasassbeh, mohammad Almseidi
ICCCNT 2018 - THE 20th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION …, 2018
162018
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
162018
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
162018
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
162017
Colour-based lips segmentation method using artificial neural networks
ABA Hassanat, M Alkasassbeh, M Al-awadi, AA Esra'a
Information and Communication Systems (ICICS), 2015 6th International …, 2015
162015
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
152018
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Articles 1–20