Mouhammd Alkasassbeh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Intrusion Detection

Machine Learning

Distributed Denial Of Service Attacks

Diabetic Retinopathy

Top Venues

Publications

Mohammad Alauthman, Ahmad Al-Qerem, Mouhammd Alkasassbeh, Nauman Aslam, Amjad Aldweesh
Malware Threats Targeting Cryptocurrency: A Comparative Study. ICCR (2024)
Maen Alzubi, Mohammad Almseidin, Mouhammd Alkasassbeh, Jamil Al-Sawwa, Amjad Aldweesh
Comparative Analysis of Fuzzy Rule Interpolation Techniques Across Various Scenarios Using a Set of Benchmarks. IEEE Access 12 (2024)
Mouhammd Alkasassbeh, Ammar Almomani, Amjad Aldweesh, Ahmad Al-Qerem, Mohammad Alauthman, Khalid M. O. Nahar, Beenu Mago
Cyberbullying Detection Using Deep Learning: A Comparative Study. ICCR (2024)
Jamil Al-Sawwa, Mohammad Almseidin, Mouhammd Alkasassbeh, Khalid Alemerien, Remah Younisse
Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge. Clust. Comput. 27 (5) (2024)
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Maen Alzubi, Khaled Alrfou
DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation. J. Netw. Syst. Manag. 32 (1) (2024)
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Mohammed Alweshah
On detecting distributed denial of service attacks using fuzzy inference system. Clust. Comput. 26 (2) (2023)
Ehab Almasri, Mouhammd Alkasassbeh, Amjad Aldweesh
Towards Generating a Practical SUNBURST Attack Dataset for Network Attack Detection. Comput. Syst. Sci. Eng. 47 (2) (2023)
Mohammad Almseidin, Mouhammd Alkasassbeh, Maen Alzubi, Jamil Al-Sawwa
Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation. Cryptogr. 6 (2) (2022)
Mohammad Almseidin, Mouhammd Alkasassbeh
An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method. Inf. 13 (6) (2022)
Israa Odeh, Mouhammd Alkasassbeh, Mohammad Almseidin
Diabetic retinopathy detection method using artificial neural network. Int. J. Bioinform. Res. Appl. 18 (4) (2022)
Majdi K. Qabalin, Muawya Naser, Mouhammd Alkasassbeh
Android Spyware Detection Using Machine Learning: A Novel Dataset. Sensors 22 (15) (2022)
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh
Generating a benchmark cyber multi-step attacks dataset for intrusion detection. J. Intell. Fuzzy Syst. 43 (3) (2022)
Mohamed Abushwereb, Mouhammd Alkasassbeh, Mohammad Almseidin, Muhannad Mustafa
An accurate IoT Intrusion Detection Framework using Apache Spark. CoRR (2022)
Israa Odeh, Mouhammd Alkasassbeh, Mohammad Alauthman
Diabetic Retinopathy Detection using Ensemble Machine Learning. CoRR (2021)
Israa Odeh, Mouhammd Alkasassbeh, Mohammad Alauthman
Diabetic Retinopathy Detection using Ensemble Machine Learning. ICIT (2021)
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh
Anomaly-based Intrusion Detection System Using Fuzzy Logic. ICIT (2021)
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh
Anomaly-based Intrusion Detection System Using Fuzzy Logic. CoRR (2021)
Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz W. Al-Haj Baddar
An efficient approach to detect IoT botnet attacks using machine learning. J. High Speed Networks 26 (3) (2020)
Almaha Abuzuraiq, Mouhammd Alkasassbeh, Mohammad Almseidin
Intelligent Methods for Accurately Detecting Phishing Websites. CoRR (2020)
Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz W. Al-Haj Baddar
A State-of-the-Art Review on IoT botnet Attack Detection. CoRR (2020)
Ahmed Hambouz, Mouhammd Alkasassbeh
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters. CoRR (2019)
Mouhammd Alkasassbeh, Tariq Khairallah
Winning tactics with DNS tunnelling. Netw. Secur. 2019 (12) (2019)
Abdelrahman Manna, Mouhammd Alkasassbeh
Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group. CoRR (2019)
Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin, Mazen Ibrahim AlZubi
Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. Int. J. Interact. Mob. Technol. 13 (1) (2019)
Nisreen Madi, Mouhammd Alkasassbeh
Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents. CoRR (2019)
Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. CoRR (2018)
Mouhammd Alkasassbeh
A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection. J. Comput. Sci. 14 (2) (2018)
Mouhammd Alkasassbeh, Mohammad Almseidin
Machine Learning Methods for Network Intrusion Detection. CoRR (2018)
Ahmad B. A. Hassanat, V. B. Surya Prasath, Mouhammd Alkasassbeh, Ahmad S. Tarawneh, Ahmad Al-Shamailh
Magnetic energy-based feature extraction for low-quality fingerprint images. Signal Image Video Process. 12 (8) (2018)
Mouhammd Alkasassbeh
A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection. CoRR (2018)
Adnan Rawashdeh, Mouhammd Alkasassbeh, Muna Al-Hawawreh
An anomaly-based approach for DDoS attack detection in cloud environment. Int. J. Comput. Appl. Technol. 57 (4) (2018)
Mohammad Almseidin, Mouhammd Alkasassbeh, Szilveszter Kovács
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality. CoRR (2018)
Mohammad Almseidin, Maen Alzubi, Szilveszter Kovács, Mouhammd Alkasassbeh
Evaluation of Machine Learning Algorithms for Intrusion Detection System. CoRR (2018)
Mouhammd Alkasassbeh, Samail Al-Daleen
Classification of malware based on file content and characteristics. CoRR (2018)
Mouhammd Alkasassbeh
An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods. CoRR (2017)
Mohammad Almseidin, Maen Alzubi, Szilveszter Kovács, Mouhammd Alkasassbeh
Evaluation of machine learning algorithms for intrusion detection system. SISY (2017)
Ahmad B. A. Hassanat, Mouhammd Alkasassbeh, Mouhammd Mahmoud Al-Awadi, Esra'a A. A. Alhasanat
Color-based object segmentation method using artificial neural network. Simul. Model. Pract. Theory 64 (2016)
Ahmad B. A. Hassanat, Esra'a Alkafaween, Nedal A. Al-Nawaiseh, Mohammad Ali Abbadi, Mouhammd Alkasassbeh, Mahmoud Bashir Alhasanat
Enhancing Genetic Algorithms using Multi Mutations. CoRR (2016)
Ahmad B. A. Hassanat, Esra'a Alkafaween, Nedal A. Al-Nawaiseh, Mohammad Ali Abbadi, Mouhammd Alkasassbeh, Mahmoud Bashir Alhasanat
Enhancing genetic algorithms using multi mutations. PeerJ Prepr. 4 (2016)
Mouhammd Alkasassbeh, Ghada Awad Altarawneh, Ahmad B. A. Hassanat
On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric. CoRR (2015)