Mouhammd Alkasassbeh

According to our database, Mouhammd Alkasassbeh authored at least 50 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge.

Jamil Al-Sawwa, Mohammad Almseidin, Mouhammd Alkasassbeh, Khalid Alemerien, Remah Younisse

Clust. Comput., August, 2024

DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation.

Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Maen Alzubi, Khaled Alrfou

J. Netw. Syst. Manag., March, 2024

Comparative Analysis of Fuzzy Rule Interpolation Techniques Across Various Scenarios Using a Set of Benchmarks.

Maen Alzubi, Mohammad Almseidin, Mouhammd Alkasassbeh, Jamil Al-Sawwa, Amjad Aldweesh

IEEE Access, 2024

Malware Threats Targeting Cryptocurrency: A Comparative Study.

Mohammad Alauthman, Ahmad Al-Qerem, Mouhammd Alkasassbeh, Nauman Aslam, Amjad Aldweesh

Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

Cyberbullying Detection Using Deep Learning: A Comparative Study.

Mouhammd Alkasassbeh, Ammar Almomani, Amjad Aldweesh, Ahmad Al-Qerem, Mohammad Alauthman, Khalid M. O. Nahar, Beenu Mago

Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

2023

On detecting distributed denial of service attacks using fuzzy inference system.

Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Mohammed Alweshah

Clust. Comput., April, 2023

Towards Generating a Practical SUNBURST Attack Dataset for Network Attack Detection.

Ehab Almasri, Mouhammd Alkasassbeh, Amjad Aldweesh

Comput. Syst. Sci. Eng., 2023

2022

Multi-Step Cyber-Attack Dataset (MSCAD for Intrusion Detection).

Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh

Dataset, June, 2022

Android Spyware Detection Using Machine Learning: A Novel Dataset.

Majdi K. Qabalin, Muawya Naser, Mouhammd Alkasassbeh

Sensors, 2022

Generating a benchmark cyber multi-step attacks dataset for intrusion detection.

Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh

J. Intell. Fuzzy Syst., 2022

An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method.

Mohammad Almseidin, Mouhammd Alkasassbeh

Inf., 2022

Diabetic retinopathy detection method using artificial neural network.

Israa Odeh, Mouhammd Alkasassbeh, Mohammad Almseidin

Int. J. Bioinform. Res. Appl., 2022

Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation.

Mohammad Almseidin, Mouhammd Alkasassbeh, Maen Alzubi, Jamil Al-Sawwa

Cryptogr., 2022

An accurate IoT Intrusion Detection Framework using Apache Spark.

Mohamed Abushwereb, Mouhammd Alkasassbeh, Mohammad Almseidin, Muhannad Mustafa

CoRR, 2022

2021

Accurate detection of network anomalies within SNMP-MIB data set using deep learning.

Ghazi Al-Naymat, Hanan Hussain, Mouhammd Al-Kasassbeh, Nidal Al-Dmour

Int. J. Comput. Appl. Technol., 2021

Diabetic Retinopathy Detection using Ensemble Machine Learning.

Israa Odeh, Mouhammd Alkasassbeh, Mohammad Alauthman

Proceedings of the International Conference on Information Technology, 2021

Anomaly-based Intrusion Detection System Using Fuzzy Logic.

Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh

Proceedings of the International Conference on Information Technology, 2021

2020

An efficient reinforcement learning-based Botnet detection approach.

Mohammad Alauthman, Nauman Aslam, Mouhammd Al-Kasassbeh, Suleman Khan, Ahmad Al-Qerem, Kim-Kwang Raymond Choo

J. Netw. Comput. Appl., 2020

Detection of IoT-botnet attacks using fuzzy rule interpolation.

Mouhammd Al-Kasassbeh, Mohammad Almseidin, Khaled Alrfou, Szilveszter Kovács

J. Intell. Fuzzy Syst., 2020

An efficient approach to detect IoT botnet attacks using machine learning.

Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz W. Al-Haj Baddar

J. High Speed Networks, 2020

A State-of-the-Art Review on IoT botnet Attack Detection.

Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz W. Al-Haj Baddar

CoRR, 2020

Intelligent Methods for Accurately Detecting Phishing Websites.

Almaha Abuzuraiq, Mouhammd Alkasassbeh, Mohammad Almseidin

CoRR, 2020

Detecting Network Anomalies using Rule-based machine learning within SNMP-MIB dataset.

Abdalrahman Hwoij, Mouhammd Al-Kasassbeh, Mustafa Al-Fayoumi

CoRR, 2020

Attack based DoS attack detection using multiple classifier.

Mohamed Abushwereb, Muhannad Mustafa, Mouhammd Al-Kasassbeh, Malik Qasaimeh

CoRR, 2020

LightGBM Algorithm for Malware Detection.

Mouhammd Al-Kasassbeh, Mohammad Ali Abbadi, Ahmed M. Al-Bustanji

Proceedings of the Intelligent Computing, 2020

Feature Selection Using a Machine Learning to Classify a Malware.

Mouhammd Al-Kasassbeh, Safaa Mohammed, Mohammad Alauthman, Ammar Almomani

Proceedings of the Handbook of Computer Networks and Cyber Security, 2020

2019

Winning tactics with DNS tunnelling.

Mouhammd Alkasassbeh, Tariq Khairallah

Netw. Secur., 2019

Revisiting the Gentle Parameter of the Random Early Detection (RED) for TCP Congestion Control.

Nabhan Hamadneh, Mouhammd Al-Kasassbeh, Ibrahim Obiedat, Mustafa Banikhalaf

J. Commun., 2019

Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques.

Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin, Mazen Ibrahim AlZubi

Int. J. Interact. Mob. Technol., 2019

Phishing Detection Based on Machine Learning and Feature Selection Methods.

Mohammad Almseidin, Almaha Abuzuraiq, Mouhammd Al-Kasassbeh, Nidal Alnidami

Int. J. Interact. Mob. Technol., 2019

Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents.

Nisreen Madi, Mouhammd Alkasassbeh

CoRR, 2019

Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters.

Ahmed Hambouz, Mouhammd Alkasassbeh

CoRR, 2019

Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group.

Abdelrahman Manna, Mouhammd Alkasassbeh

CoRR, 2019

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

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018

Magnetic energy-based feature extraction for low-quality fingerprint images.

Ahmad B. A. Hassanat, V. B. Surya Prasath, Mouhammd Alkasassbeh, Ahmad S. Tarawneh, Ahmad Al-Shamailh

Signal Image Video Process., 2018

A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection.

Mouhammd Alkasassbeh

J. Comput. Sci., 2018

Using machine learning methods for detecting network anomalies within SNMP-MIB dataset.

Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari

Int. J. Wirel. Mob. Comput., 2018

An anomaly-based approach for DDoS attack detection in cloud environment.

Adnan Rawashdeh, Mouhammd Alkasassbeh, Muna Al-Hawawreh

Int. J. Comput. Appl. Technol., 2018

Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality.

Mohammad Almseidin, Mouhammd Alkasassbeh, Szilveszter Kovács

CoRR, 2018

Classification of malware based on file content and characteristics.

Mouhammd Alkasassbeh, Samail Al-Daleen

CoRR, 2018

Machine Learning Methods for Network Intrusion Detection.

Mouhammd Alkasassbeh, Mohammad Almseidin

CoRR, 2018

Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques.

Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin

CoRR, 2018

Exploiting SNMP-MIB Data to Detect Network Anomalies Using Machine Learning Techniques.

Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Eshraq Al-Hawari

Proceedings of the Intelligent Systems and Applications, 2018

2017

An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods.

Mouhammd Alkasassbeh

CoRR, 2017

Evaluation of machine learning algorithms for intrusion detection system.

Mohammad Almseidin, Maen Alzubi, Szilveszter Kovács, Mouhammd Alkasassbeh

Proceedings of the 15th IEEE International Symposium on Intelligent Systems and Informatics, 2017

2016

Color-based object segmentation method using artificial neural network.

Ahmad B. A. Hassanat, Mouhammd Alkasassbeh, Mouhammd Mahmoud Al-Awadi, Esra'a A. A. Alhasanat

Simul. Model. Pract. Theory, 2016

Enhancing genetic algorithms using multi mutations.

Ahmad B. A. Hassanat, Esra'a Alkafaween, Nedal A. Al-Nawaiseh, Mohammad Ali Abbadi, Mouhammd Alkasassbeh, Mahmoud Bashir Alhasanat

PeerJ Prepr., 2016

2015

On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric.

Mouhammd Alkasassbeh, Ghada Awad Altarawneh, Ahmad B. A. Hassanat

CoRR, 2015

2009

Network fault detection with Wiener filter-based agent.

Mouhammd Al-Kasassbeh, Mo Adda

J. Netw. Comput. Appl., 2009

2008

Analysis of mobile agents in network fault management.

Mouhammd Al-Kasassbeh, Mo Adda

J. Netw. Comput. Appl., 2008