Analysis of mobile agents in network fault management. - Mouhammd Al-Kasassbeh 001; Mo Adda (J. Netw. Comput. Appl., 2008)

Network fault detection with Wiener filter-based agent. - Mouhammd Al-Kasassbeh 001; Mo Adda (J. Netw. Comput. Appl., 2009)

On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric. - Mouhammd Alkasassbeh 001; Ghada Awad Altarawneh; Ahmad B. A. Hassanat (CoRR, 2015)

Enhancing genetic algorithms using multi mutations. - Ahmad B. A. Hassanat; Esra'a Alkafaween; Nedal A. Al-Nawaiseh; Mohammad Ali Abbadi; Mouhammd Alkasassbeh 001; Mahmoud Bashir Alhasanat (PeerJ Prepr., 2016)

Color-based object segmentation method using artificial neural network. - Ahmad B. A. Hassanat; Mouhammd Alkasassbeh 001; Mouhammd Mahmoud Al-Awadi; Esra'a A. A. Alhasanat (Simul. Model. Pract. Theory, 2016)

Evaluation of machine learning algorithms for intrusion detection system. - Mohammad Almseidin; Maen Alzubi; Szilveszter Kovács; Mouhammd Alkasassbeh 001 (SISY, 2017)

An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods. - Mouhammd Alkasassbeh 001 (CoRR, 2017)

Exploiting SNMP-MIB Data to Detect Network Anomalies Using Machine Learning Techniques. - Ghazi Al-Naymat; Mouhammd Al-Kasassbeh 001; Eshraq Al-Hawari (IntelliSys (2), 2018)

Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. - Ibrahim Obeidat; Nabhan Hamadneh; Mouhammd Alkasassbeh 001; Mohammad Almseidin (CoRR, 2018)

Machine Learning Methods for Network Intrusion Detection. - Mouhammd Alkasassbeh 001; Mohammad Almseidin (CoRR, 2018)

Classification of malware based on file content and characteristics. - Mouhammd Alkasassbeh 001; Samail Al-Daleen (CoRR, 2018)

Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality. - Mohammad Almseidin; Mouhammd Alkasassbeh 001; Szilveszter Kovács (CoRR, 2018)

An anomaly-based approach for DDoS attack detection in cloud environment. - Adnan Rawashdeh; Mouhammd Alkasassbeh 001; Muna Al-Hawawreh (Int. J. Comput. Appl. Technol., 2018)

Using machine learning methods for detecting network anomalies within SNMP-MIB dataset. - Ghazi Al-Naymat; Mouhammd Al-Kasassbeh 001; Eshraq Al-Hawari (Int. J. Wirel. Mob. Comput., 2018)

A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection. - Mouhammd Alkasassbeh 001 (J. Comput. Sci., 2018)

Magnetic energy-based feature extraction for low-quality fingerprint images. - Ahmad B. A. Hassanat; V. B. Surya Prasath; Mouhammd Alkasassbeh 001; Ahmad S. Tarawneh; Ahmad Al-Shamailh (Signal Image Video Process., 2018)

Evaluating the Impact of Feature Selection Methods on SNMP-MIB Interface Parameters to Accurately Detect Network Anomalies. - Ghazi Al-Naymat; Ahmed Hambouz; Mouhammd Al-Kasassbeh 001 (ISSPIT, 2019)

Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group. - Abdelrahman Manna; Mouhammd Alkasassbeh 001 (CoRR, 2019)

Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters. - Ahmed Hambouz; Mouhammd Alkasassbeh 001 (CoRR, 2019)

Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents. - Nisreen Madi; Mouhammd Alkasassbeh 001 (CoRR, 2019)

Phishing Detection Based on Machine Learning and Feature Selection Methods. - Mohammad Almseidin; Almaha Abuzuraiq; Mouhammd Al-Kasassbeh 001; Nidal Alnidami (Int. J. Interact. Mob. Technol., 2019)

Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. - Ibrahim Obeidat; Nabhan Hamadneh; Mouhammd Alkasassbeh 001; Mohammad Almseidin; Mazen Ibrahim AlZubi (Int. J. Interact. Mob. Technol., 2019)

Revisiting the Gentle Parameter of the Random Early Detection (RED) for TCP Congestion Control. - Nabhan Hamadneh; Mouhammd Al-Kasassbeh 001; Ibrahim Obiedat; Mustafa Banikhalaf (J. Commun., 2019)

Winning tactics with DNS tunnelling. - Mouhammd Alkasassbeh 001; Tariq Khairallah (Netw. Secur., 2019)

Feature Selection Using a Machine Learning to Classify a Malware. - Mouhammd Al-Kasassbeh 001; Safaa Mohammed; Mohammad Alauthman; Ammar Almomani (Handbook of Computer Networks and Cyber Security, 2020)

LightGBM Algorithm for Malware Detection. - Mouhammd Al-Kasassbeh 001; Mohammad Ali Abbadi; Ahmed M. Al-Bustanji (SAI (3), 2020)

Attack based DoS attack detection using multiple classifier. - Mohamed Abushwereb; Muhannad Mustafa; Mouhammd Al-Kasassbeh 001; Malik Qasaimeh (CoRR, 2020)

Detecting Network Anomalies using Rule-based machine learning within SNMP-MIB dataset. - Abdalrahman Hwoij; Mouhammd Al-Kasassbeh 001; Mustafa Al-Fayoumi (CoRR, 2020)

Intelligent Methods for Accurately Detecting Phishing Websites. - Almaha Abuzuraiq; Mouhammd Alkasassbeh 001; Mohammad Almseidin (CoRR, 2020)

A State-of-the-Art Review on IoT botnet Attack Detection. - Zainab Al-Othman; Mouhammd Alkasassbeh 001; Sherenaz W. Al-Haj Baddar (CoRR, 2020)

An efficient approach to detect IoT botnet attacks using machine learning. - Zainab Al-Othman; Mouhammd Alkasassbeh 001; Sherenaz W. Al-Haj Baddar (J. High Speed Networks, 2020)

Detection of IoT-botnet attacks using fuzzy rule interpolation. - Mouhammd Al-Kasassbeh 001; Mohammad Almseidin; Khaled Alrfou; Szilveszter Kovács (J. Intell. Fuzzy Syst., 2020)

An efficient reinforcement learning-based Botnet detection approach. - Mohammad Alauthman; Nauman Aslam; Mouhammd Al-Kasassbeh 001; Suleman Khan 001; Ahmad Al-Qerem; Kim-Kwang Raymond Choo (J. Netw. Comput. Appl., 2020)

Anomaly-based Intrusion Detection System Using Fuzzy Logic. - Mohammad Almseidin; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001 (ICIT, 2021)

Diabetic Retinopathy Detection using Ensemble Machine Learning. - Israa Odeh; Mouhammd Alkasassbeh 001; Mohammad Alauthman (ICIT, 2021)

Accurate detection of network anomalies within SNMP-MIB data set using deep learning. - Ghazi Al-Naymat; Hanan Hussain; Mouhammd Al-Kasassbeh 001; Nidal Al-Dmour (Int. J. Comput. Appl. Technol., 2021)

An accurate IoT Intrusion Detection Framework using Apache Spark. - Mohamed Abushwereb; Mouhammd Alkasassbeh 001; Mohammad Almseidin; Muhannad Mustafa (CoRR, 2022)

Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation. - Mohammad Almseidin; Mouhammd Alkasassbeh 001; Maen Alzubi; Jamil Al-Sawwa (Cryptogr., 2022)

Diabetic retinopathy detection method using artificial neural network. - Israa Odeh; Mouhammd Alkasassbeh 001; Mohammad Almseidin (Int. J. Bioinform. Res. Appl., 2022)

An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method. - Mohammad Almseidin; Mouhammd Alkasassbeh 001 (Inf., 2022)

Generating a benchmark cyber multi-step attacks dataset for intrusion detection. - Mohammad Almseidin; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001 (J. Intell. Fuzzy Syst., 2022)

Android Spyware Detection Using Machine Learning: A Novel Dataset. - Majdi K. Qabalin; Muawya Naser; Mouhammd Alkasassbeh 001 (Sensors, 2022)

Multi-Step Cyber-Attack Dataset (MSCAD for Intrusion Detection). - Mohammad Almseidin; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001 (IEEE DataPort, 2022)

Towards Generating a Practical SUNBURST Attack Dataset for Network Attack Detection. - Ehab Almasri; Mouhammd Alkasassbeh 001; Amjad Aldweesh (Comput. Syst. Sci. Eng., 2023)

On detecting distributed denial of service attacks using fuzzy inference system. - Mohammad Almseidin; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001; Mohammed Alweshah (Clust. Comput., 2023)

Cyberbullying Detection Using Deep Learning: A Comparative Study. - Mouhammd Alkasassbeh 001; Ammar Almomani; Amjad Aldweesh; Ahmad Al-Qerem; Mohammad Alauthman; Khalid M. O. Nahar; Beenu Mago (ICCR, 2024)

Malware Threats Targeting Cryptocurrency: A Comparative Study. - Mohammad Alauthman; Ahmad Al-Qerem; Mouhammd Alkasassbeh 001; Nauman Aslam; Amjad Aldweesh (ICCR, 2024)

Comparative Analysis of Fuzzy Rule Interpolation Techniques Across Various Scenarios Using a Set of Benchmarks. - Maen Alzubi; Mohammad Almseidin; Mouhammd Alkasassbeh 001; Jamil Al-Sawwa; Amjad Aldweesh (IEEE Access, 2024)

A Threefold Approach for Enhancing Fuzzy Interpolative Reasoning: Case Study on Phishing Attack Detection Using Sparse Rule Bases. - Mohammad Almseidin; Maen Alzubi; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001; Mohammad Alfraheed (Comput., 2024)

DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation. - Mohammad Almseidin; Jamil Al-Sawwa; Mouhammd Alkasassbeh 001; Maen Alzubi; Khaled Alrfou (J. Netw. Syst. Manag., 2024)

Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge. - Jamil Al-Sawwa; Mohammad Almseidin; Mouhammd Alkasassbeh 001; Khalid Alemerien; Remah Younisse (Clust. Comput., 2024)

Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs. - Yasmeen Alslman; Mouhammd Alkasassbeh 001; Mohammad J. Abdel-Rahman (IEEE Access, 2025)

Advanced Technologies to Smart Grid Systems: Challenges and Demands. - Remah Younisse; Mouhammd Alkasassbeh 001; Amjad Aldweesh (IEEE Access, 2025)

Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection. - Mohammad Almseidin; Amjad Gawanmeh; Maen Alzubi; Jamil Al-Sawwa; Ashraf S. Mashaleh; Mouhammd Alkasassbeh 001 (Comput., 2025)

SUNBURST Attack Dataset. - Mouhammd Alkasassbeh 001 (IEEE DataPort, 2025)