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Muna Al-Hawawreh
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- affiliation: Deakin University, Victoria, Australia
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2020 – today
- 2024
- [j18]Muna Al-Hawawreh
, Nour Moustafa
:
Explainable deep learning for attack intelligence and combating cyber-physical attacks. Ad Hoc Networks 153: 103329 (2024) - [j17]Rami Mohawesh, Muna Al-Hawawreh, Sumbal Maqsood
, Omar AlQudah:
Factitious or fact? Learning textual representations for fake online review detection. Clust. Comput. 27(3): 3307-3322 (2024) - [j16]Muna Al-Hawawreh, Mamoun Alazab, Mohamed Amine Ferrag, M. Shamim Hossain
:
Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms. J. Netw. Comput. Appl. 223: 103809 (2024) - [j15]Muna Al-Hawawreh, M. Shamim Hossain
:
Digital twin-driven secured edge-private cloud Industrial Internet of Things (IIoT) framework. J. Netw. Comput. Appl. 226: 103888 (2024) - [j14]Muna Al-Hawawreh
, Nour Moustafa, Jill Slay
:
A threat intelligence framework for protecting smart satellite-based healthcare networks. Neural Comput. Appl. 36(1): 15-35 (2024) - [j13]Muna Al-Hawawreh
, M. Shamim Hossain
:
Federated Learning-Assisted Distributed Intrusion Detection Using Mesh Satellite Nets for Autonomous Vehicle Protection. IEEE Trans. Consumer Electron. 70(1): 854-862 (2024) - [i7]Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder:
usfAD Based Effective Unknown Attack Detection Focused IDS Framework. CoRR abs/2403.11180 (2024) - [i6]Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder:
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats. CoRR abs/2403.13010 (2024) - [i5]Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder:
Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis. CoRR abs/2403.13013 (2024) - 2023
- [j12]Muna Al-Hawawreh
, Ahamed Aljuhani, Yaser Jararweh:
Chatgpt for cybersecurity: practical applications, challenges, and future directions. Clust. Comput. 26(6): 3421-3436 (2023) - [j11]Mohamed Amine Ferrag
, Othmane Friha
, Burak Kantarci
, Norbert Tihanyi
, Lucas C. Cordeiro
, Mérouane Debbah, Djallel Hamouda
, Muna Al-Hawawreh
, Kim-Kwang Raymond Choo
:
Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses. IEEE Commun. Surv. Tutorials 25(4): 2654-2713 (2023) - [j10]Muna Al-Hawawreh
, M. Shamim Hossain:
A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning. Inf. Fusion 99: 101889 (2023) - [j9]Rami Mohawesh
, Shuxiang Xu
, Matthew Springer
, Yaser Jararweh
, Muna Al-Hawawreh
, Sumbal Maqsood
:
An explainable ensemble of multi-view deep learning model for fake review detection. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101644 (2023) - [c8]Fuyi Wang, Yanping Wang, Leo Yu Zhang, Yuval Hertzog, Michael Loewy, Dominique Valladolid, Julio Medeiros, Muna Al-Hawawreh, Robin Doss:
WiP: Towards Zero Trust Authentication in Critical Industrial Infrastructures with PRISM. ACNS Workshops 2023: 336-354 - [c7]Mohamed Amine Ferrag, Mérouane Debbah, Muna Al-Hawawreh:
Generative AI for Cyber Threat-Hunting in 6G-enabled IoT Networks. CCGridW 2023: 16-25 - [c6]Muna Al-Hawawreh, Robin Doss:
Enhancing Security in Industrial IoT: A Taxonomy-driven Approach to Risk Assessment. TrustCom 2023: 434-443 - [i4]Mohamed Amine Ferrag, Mérouane Debbah, Muna Al-Hawawreh:
Generative AI for Cyber Threat-Hunting in 6G-enabled IoT Networks. CoRR abs/2303.11751 (2023) - [i3]Mohamed Amine Ferrag, Othmane Friha, Burak Kantarci, Norbert Tihanyi, Lucas C. Cordeiro, Mérouane Debbah, Djallel Hamouda, Muna Al-Hawawreh, Kim-Kwang Raymond Choo:
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses. CoRR abs/2306.10309 (2023) - 2022
- [j8]Muna Al-Hawawreh
, Elena Sitnikova
, Neda Aboutorab
:
X-IIoTID: A Connectivity-Agnostic and Device-Agnostic Intrusion Data Set for Industrial Internet of Things. IEEE Internet Things J. 9(5): 3962-3977 (2022) - [c5]Muna Al-Hawawreh, Ibrahim Elgendi, Kumudu S. Munasinghe
:
Ultra Light-weight Encryption for Securing D2D Communication of ESP8266 IoT devices in Wireless Mesh Networks. ISNCC 2022: 1-6 - [d1]Muna Al-Hawawreh
, Elena Sitnikova, Neda Aboutorab:
X-IIoTID: A Connectivity- and Device-agnostic Intrusion Dataset for Industrial Internet of Things. IEEE DataPort, 2022 - 2021
- [j7]Muna Al-Hawawreh
, Elena Sitnikova
, Neda Aboutorab
:
Asynchronous Peer-to-Peer Federated Capability-Based Targeted Ransomware Detection Model for Industrial IoT. IEEE Access 9: 148738-148755 (2021) - [j6]Muna Al-Hawawreh
, Elena Sitnikova
:
Developing a Security Testbed for Industrial Internet of Things. IEEE Internet Things J. 8(7): 5558-5573 (2021) - [j5]Muna Al-Hawawreh
, Nour Moustafa
, Sahil Garg
, M. Shamim Hossain
:
Deep Learning-Enabled Threat Intelligence Scheme in the Internet of Things Networks. IEEE Trans. Netw. Sci. Eng. 8(4): 2968-2981 (2021) - [i2]Rami Mohawesh, Shuxiang Xu, Matthew Springer
, Muna Al-Hawawreh, Sumbal Maqsood
:
Fake or Genuine? Contextualised Text Representation for Fake Review Detection. CoRR abs/2112.14343 (2021) - 2020
- [i1]Muna Al-Hawawreh, Elena Sitnikova:
Developing a Security Testbed for Industrial Internet of Things. CoRR abs/2011.12546 (2020)
2010 – 2019
- 2019
- [j4]Muna Al-Hawawreh
, Frank T. H. den Hartog
, Elena Sitnikova
:
Targeted Ransomware: A New Cyber Threat to Edge System of Brownfield Industrial Internet of Things. IEEE Internet Things J. 6(4): 7137-7151 (2019) - [j3]Mustafa Hammad, Mohammad Bsoul, Maen Hammad, Muna Al-Hawawreh
:
An Efficient Approach for Representing and Sending Data in Wireless Sensor Networks. J. Commun. 14(2): 104-109 (2019) - [c4]Muna Al-Hawawreh
, Elena Sitnikova
, Frank T. H. den Hartog
:
An Efficient Intrusion Detection Model for Edge System in Brownfield Industrial Internet of Things. BDIOT 2019: 83-87 - [c3]Muna Al-Hawawreh
, Elena Sitnikova
:
Industrial Internet of Things Based Ransomware Detection using Stacked Variational Neural Network. BDIOT 2019: 126-130 - [c2]Muna Al-Hawawreh
, Elena Sitnikova
:
Leveraging Deep Learning Models for Ransomware Detection in the Industrial Internet of Things Environment. MilCIS 2019: 1-6 - 2018
- [j2]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): 312-324 (2018) - [j1]Muna Al-Hawawreh
, Nour Moustafa
, Elena Sitnikova
:
Identification of malicious activities in industrial internet of things based on deep learning models. J. Inf. Secur. Appl. 41: 1-11 (2018) - 2016
- [c1]Aws Naser
, Mohamed Fadli Bin Zolkipli, Shahid Anwar
, Muna Sulieman Al-Hawawreh
:
Present Status and Challenges in Cloud Monitoring Framework: A Survey. EISIC 2016: 201
Coauthor Index
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last updated on 2024-08-05 21:12 CEST by the dblp team
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