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ORCIDMohammad Almseidin
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2020 – today
- 2024
[j13]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: 33140-33153 (2024)- [j12]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): 5799-5814 (2024) - [j11]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): 14 (2024) - 2023
- [j10]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Mohammed Alweshah:
On detecting distributed denial of service attacks using fuzzy inference system. Clust. Comput. 26(2): 1337-1351 (2023) - [j9]Mohammed Alweshah, Sofian Kassaymeh, Saleh Alkhalaileh, Mohammad Almseidin, Ibrahim Altarawni:
An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem. Neural Process. Lett. 55(8): 10925-10950 (2023) - 2022
- [j8]Mohammad Almseidin, Mouhammd Alkasassbeh, Maen Alzubi, Jamil Al-Sawwa:
Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation. Cryptogr. 6(2): 24 (2022) - [j7]Israa Odeh, Mouhammd Alkasassbeh, Mohammad Almseidin:
Diabetic retinopathy detection method using artificial neural network. Int. J. Bioinform. Res. Appl. 18(4): 300-317 (2022) - [j6]Mohammad Almseidin, Mouhammd Alkasassbeh:
An Accurate Detection Approach for IoT Botnet Attacks Using Interpolation Reasoning Method. Inf. 13(6): 300 (2022) - [j5]Jamil Al-Sawwa, Mohammad Almseidin:
A Spark-Based Artificial Bee Colony Algorithm for Unbalanced Large Data Classification. Inf. 13(11): 530 (2022) - [j4]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh:
Generating a benchmark cyber multi-step attacks dataset for intrusion detection. J. Intell. Fuzzy Syst. 43(3): 3679-3694 (2022) - [d1]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh:
Multi-Step Cyber-Attack Dataset (MSCAD for Intrusion Detection). IEEE DataPort, 2022
- [i9]Mohamed Abushwereb, Mouhammd Alkasassbeh, Mohammad Almseidin, Muhannad Mustafa:
An accurate IoT Intrusion Detection Framework using Apache Spark. CoRR abs/2203.04347 (2022) - 2021
- [c2]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh:
Anomaly-based Intrusion Detection System Using Fuzzy Logic. ICIT 2021: 290-295 - [i8]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh:
Anomaly-based Intrusion Detection System Using Fuzzy Logic. CoRR abs/2107.12299 (2021) - 2020
- [b1]Mohammad Almseidin:
Fuzzy Automaton-based Early Detection Model. University of Miskolc, Hungary, 2020 - [j3]Mouhammd Al-Kasassbeh, Mohammad Almseidin, Khaled Alrfou, Szilveszter Kovács:
Detection of IoT-botnet attacks using fuzzy rule interpolation. J. Intell. Fuzzy Syst. 39(1): 421-431 (2020) - [i7]Almaha Abuzuraiq, Mouhammd Alkasassbeh, Mohammad Almseidin:
Intelligent Methods for Accurately Detecting Phishing Websites. CoRR abs/2002.07223 (2020)
2010 – 2019
- 2019
- [j2]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): 70-84 (2019) - [j1]Mohammad Almseidin, Almaha Abuzuraiq, Mouhammd Al-Kasassbeh, Nidal Alnidami:
Phishing Detection Based on Machine Learning and Feature Selection Methods. Int. J. Interact. Mob. Technol. 13(12): 171-183 (2019) - [i6]Mohammad Almseidin, Szilveszter Kovács:
Intrusion Detection Mechanism Using Fuzzy Rule Interpolation. CoRR abs/1904.08790 (2019) - [i5]Maen Alzubi, Mohammad Almseidin, Mohd Aaqib Lone, Szilveszter Kovács:
Fuzzy Rule Interpolation Toolbox for the GNU Open-Source OCTAVE. CoRR abs/1912.04999 (2019) - 2018
- [i4]Mohammad Almseidin, Maen Alzubi, Szilveszter Kovács, Mouhammd Alkasassbeh:
Evaluation of Machine Learning Algorithms for Intrusion Detection System. CoRR abs/1801.02330 (2018) - [i3]Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Alkasassbeh, Mohammad Almseidin:
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. CoRR abs/1805.10458 (2018) - [i2]Mouhammd Alkasassbeh, Mohammad Almseidin:
Machine Learning Methods for Network Intrusion Detection. CoRR abs/1809.02610 (2018) - [i1]Mohammad Almseidin, Mouhammd Alkasassbeh, Szilveszter Kovács:
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality. CoRR abs/1811.08954 (2018) - 2017
- [c1]Mohammad Almseidin, Maen Alzubi, Szilveszter Kovács, Mouhammd Alkasassbeh:
Evaluation of machine learning algorithms for intrusion detection system. SISY 2017: 277-282
Coauthor Index
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