Dr. Iman AlMomani
Dr. Iman AlMomani
Associate Professor, Senior IEEE Member, University of Jordan
Verified email at - Homepage
Cited by
Cited by
WSN-DS: A dataset for intrusion detection systems in wireless sensor networks
I Almomani, B Al-Kasasbeh, M Al-Akhras
Journal of Sensors 2016, 2016
Ubiquitous GPS vehicle tracking and management system
IM Almomani, NY Alkhalil, EM Ahmad, RM Jodeh
2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing …, 2011
Enhancing outpatient clinics management software by reducing patients’ waiting time
I Almomani, A Alsarheed
Journal of infection and public health 9 (6), 734-743, 2016
Ransomware detection system for Android applications
S Alsoghyer, I Almomani
Electronics 8 (8), 868, 2019
Non-intrusive speech quality prediction in VoIP networks using a neural network approach
M Al-Akhras, H Zedan, R John, I Almomani
Neurocomputing 72 (10-12), 2595-2608, 2009
A multi-layer classification approach for intrusion detection in iot networks based on deep learning
R Qaddoura, A M. Al-Zoubi, H Faris, I Almomani
Sensors 21 (9), 2987, 2021
A comprehensive analysis of the android permissions system
IM Almomani, A Al Khayer
Ieee access 8, 216671-216688, 2020
A multi-stage classification approach for iot intrusion detection based on clustering with oversampling
R Qaddoura, AM Al-Zoubi, I Almomani, H Faris
Applied Sciences 11 (7), 3022, 2021
Optical bit-plane-based 3D-JST cryptography algorithm with cascaded 2D-FrFT encryption for efficient and secure HEVC communication
W El-Shafai, IM Almomani, A Alkhayer
IEEE Access 9, 35004-35026, 2021
Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data
I Almomani, R Qaddoura, M Habib, S Alsoghyer, A Al Khayer, I Aljarah, ...
IEEE Access 9, 57674-57691, 2021
On the effectiveness of application permissions for Android ransomware detection
S Alsoghyer, I Almomani
2020 6th conference on data science and machine learning applications (CDMA …, 2020
FEAR: Fuzzy-based energy aware routing protocol for wireless sensor networks
IM ALMomani, MK Saadeh
International Journal of Communications, Network and System Sciences 4 (06), 403, 2011
Optimizing extreme learning machines using chains of salps for efficient Android ransomware detection
H Faris, M Habib, I Almomani, M Eshtay, I Aljarah
Applied Sciences 10 (11), 3706, 2020
Visualized malware multi-classification framework using fine-tuned CNN-based transfer learning models
W El-Shafai, I Almomani, A AlKhayer
Applied Sciences 11 (14), 6446, 2021
IoT botnet detection using salp swarm and ant lion hybrid optimization model
R Abu Khurma, I Almomani, I Aljarah
Symmetry 13 (8), 1377, 2021
Efficient Denial of Service Attacks Detection in Wireless Sensor Networks
I Almomani, M Alenezi
Journal of Information Science and Engineering 34 (4), 977-1000, 2018
An automated vision-based deep learning model for efficient detection of android malware attacks
I Almomani, A Alkhayer, W El-Shafai
IEEE Access 10, 2700-2720, 2022
Performance analysis of LEACH protocol under Denial of Service attacks
I Almomani, B Al-Kasasbeh
2015 6th International Conference on Information and Communication Systems …, 2015
Abusing Android permissions: A security perspective
M Alenezi, I Almomani
IEEE Jordan Conference on Applied Electrical Engineering and Computing …, 2017
Android applications scanning: The guide
I Almomani, A Khayer
2019 International Conference on Computer and Information Sciences (ICCIS), 1-5, 2019
The system can't perform the operation now. Try again later.
Articles 1–20