Naima Kaabouch

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 112

Top Venues

EIT

CoRR

UEMCON

CCWC

Publications

Hassan Khazane, Mohammed Ridouani, Fatima Salahdine, Naima Kaabouch
A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks. Future Internet 16 (1) (2024)
Abdelali Hadir, Naima Kaabouch, Mohammed-Alamine El Houssaini, Jamal El Kafi
Range-Free Localization Approaches Based on Intelligent Swarm Optimization for Internet of Things. Inf. 14 (11) (2023)
Mohammad Nayfeh, Yuchen Li, Khair Al Shamaileh, Vijay Kumar Devabhaktuni, Naima Kaabouch
Machine Learning Modeling of GPS Features with Applications to UAV Location Spoofing Detection and Classification. Comput. Secur. 126 (2023)
Joshua Price, Hadjar Ould Slimane, Khair Al Shamaileh, Vijay Kumar Devabhaktuni, Naima Kaabouch
A Machine Learning Approach for the Detection of Injection Attacks on ADS-B Messaging Systems. ICNC (2023)
Tala Talaei Khoei, Ghilas Aissou, Khair Al Shamaileh, Vijaya Kumar Devabhaktuni, Naima Kaabouch
Supervised Deep Learning Models for Detecting GPS Spoofing Attacks on Unmanned Aerial Vehicles. eIT (2023)
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
Deep learning: systematic review, models, challenges, and research directions. Neural Comput. Appl. 35 (31) (2023)
Rajrup Mitra, Amrita Das, Jack Heichel, Sattar Dorafshan, Naima Kaabouch
A Comparative Analysis of Two Deep Learning Neural Networks for Defect Detection in Steel Structures Using UAS. eIT (2023)
Tala Talaei Khoei, Naima Kaabouch
ACapsule Q-Learning Based Reinforcement Model for Intrusion Detection System on Smart Grid. eIT (2023)
Mohammad Nayfeh, Joshua Price, M. Alkhatib, Khair Al Shamaileh, Naima Kaabouch, Vijay K. Devabhakuni
A Real-time Machine Learning-based GPS Spoofing Solution for Location-dependent UAV Applications. eIT (2023)
Faezeh Jafari, Sattar Dorafshan, Naima Kaabouch
Segmentation of fatigue cracks in ancillary steel structures using deep learning convolutional neural networks. AIM (2023)
Tala Talaei Khoei, Naima Kaabouch
A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems. Inf. 14 (2) (2023)
Amal Naitali, Mohammed Ridouani, Fatima Salahdine, Naima Kaabouch
Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. Comput. 12 (10) (2023)
Tala Talaei Khoei, Naima Kaabouch
Machine Learning: Models, Challenges, and Research Directions. Future Internet 15 (10) (2023)
Hadjar Ould Slimane, Selma Benouadah, Khair Al Shamaileh, Vijay K. Devabhaktuni, Naima Kaabouch
ADS-B Message Injection Attack on UAVs: Assessment of SVM-based Detection Techniques. EIT (2022)
Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch
Phishing Attacks Detection - A Machine Learning-Based Approach. CoRR (2022)
Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi
Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network. Biomed. Signal Process. Control. 76 (2022)
Rajrup Mitra, Jack Hackel, Amrita Das, Sattar Dorafshan, Naima Kaabouch
A UAV Payload for Real-time Inspection of Highway Ancillary Structures. EIT (2022)
Tala Talaei Khoei, Mohammad Aymane Ahajjam, Wen Chen Hu, Naima Kaabouch
A Deep Learning Multi-Task Approach for the Detection of Alzheimer's Disease in a Longitudinal Study. EIT (2022)
Tala Talaei Khoei, Shereen Ismail, Naima Kaabouch
Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs. Sensors 22 (2) (2022)
Tala Talaei Khoei, Naima Kaabouch
Densely Connected Neural Networks for Detecting Denial of Service Attacks on Smart Grid Network. UEMCON (2022)
Joshua Price, Yuchen Li, Khair Al Shamaileh, Quamar Niyaz, Naima Kaabouch, Vijay K. Devabhaktuni
Real-time Classification of Jamming Attacks against UAVs via on-board Software-defined Radio and Machine Learning-based Receiver Module. EIT (2022)
Hadjar Ould Slimane, Selma Benouadah, Tala Talaei Khoei, Naima Kaabouch
A Light Boosting-based ML Model for Detecting Deceptive Jamming Attacks on UAVs. CCWC (2022)
T. Talaei Khoei, Aydan Gasimova, M. A. Ahajjam, Khair Al Shamaileh, Vijay K. Devabhaktuni, Naima Kaabouch
A Comparative Analysis of Supervised and Unsupervised Models for Detecting GPS Spoofing Attack on UAVs. EIT (2022)
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions. CoRR (2022)
Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi
Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection. Concurr. Comput. Pract. Exp. 34 (24) (2022)
Tala Talaei Khoei, Wen Chen Hu, Naima Kaabouch
Residual Convolutional Network for Detecting Attacks on Intrusion Detection Systems in Smart Grid. EIT (2022)
Aydan Gasimova, Tala Talaei Khoei, Naima Kaabouch
A Comparative Analysis of the Ensemble Models for Detecting GPS Spoofing attacks on UAVs. CCWC (2022)
Ghilas Aissou, Selma Benouadah, Hassan El Alami, Naima Kaabouch
Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS. CCWC (2022)
Shereen Ismail, Tala Talaei Khoei, Ronald Marsh, Naima Kaabouch
A Comparative Study of Machine Learning Models for Cyber-attacks Detection in Wireless Sensor Networks. UEMCON (2021)
Ghilas Aissou, Hadjar Ould Slimane, Selma Benouadah, Naima Kaabouch
Tree-based Supervised Machine Learning Models For Detecting GPS Spoofing Attacks on UAS. UEMCON (2021)
Tala Talaei Khoei, Mary Catherine Labuhn, Toro Dama Caleb, Wen Chen Hu, Naima Kaabouch
A Stacking-based Ensemble Learning Model with Genetic Algorithm For detecting Early Stages of Alzheimer's Disease. EIT (2021)
David Hettich, Megan Olson, Andie Jackson, Naima Kaabouch
Breast Cancer: Classification of Tumors Using Machine Learning Algorithms. CIVEMSA (2021)
Tala Talaei Khoei, Ghilas Aissou, When Chen Hu, Naima Kaabouch
Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid. EIT (2021)
Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation. Biomed. Signal Process. Control. 66 (2021)
Tala Talaei Khoei, Shereen Ismail, Naima Kaabouch
Boosting-based Models with Tree-structured Parzen Estimator Optimization to Detect Intrusion Attacks on Smart Grid. UEMCON (2021)
Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch
Phishing Attacks Detection A Machine Learning-Based Approach. UEMCON (2021)
Jappreet Singh Gill, Mahdi Saeedi Velashani, Jordan Wolf, Jonathan Kenney, Mohsen Riahi Manesh, Naima Kaabouch
Simulation Testbeds and Frameworks for UAV Performance Evaluation. EIT (2021)
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. CoRR (2020)
Maha Rita Arabia-Obedoza, Gloria Rodriguez, Amber Johnston, Fatima Salahdine, Naima Kaabouch
Social Engineering Attacks A Reconnaissance Synthesis Analysis. UEMCON (2020)
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques. ICOIN (2020)
Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch
Classification of Microcalcifications in Mammograms using 2D Discrete Wavelet Transform and Random Forest. EIT (2020)
Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. CoRR (2020)
Rabie Fadil, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch
Breast Microcalcifications Detection using TR-MUSIC Algorithm. EIT (2020)
Hamed Taheri Gorji, Tala Talaei Khoei, Naima Kaabouch
Biomarkers Selection Toward Early Detection of Alzheimer's Disease. EIT (2020)
Radhakrishnan Angamuthu Chinnathambi, Alex Marquette, Tyler Clark, Aaron Johnson, Daisy Flora Selvaraj, Jeff Vaughan, Todd Hanson, Scott Hanson, Prakash Ranganathan, Naima Kaabouch
Visualizing and Predicting Culex Tarsalis Trapcounts for West Nile Virus (WNV) Disease Incidence using Machine Learning Models. EIT (2020)
Khaoula Belhaj Soulami, Naima Kaabouch, Mohamed Nabil Saidi, Ahmed Tamtaoui
An evaluation and ranking of evolutionary algorithms in segmenting abnormal masses in digital mammograms. Multim. Tools Appl. 79 (27-28) (2020)
Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi, Naima Kaabouch
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication. ICOIN (2020)
Jonathan Ray Kenney, Naima Kaabouch
Direction Finding Antenna using Rotating Radome. EIT (2020)
Fatima Salahdine, Naima Kaabouch
Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey. Phys. Commun. 39 (2020)
Elias Ghribi, Tala Talaei Khoei, Hamed Taheri Gorji, Prakash Ranganathan, Naima Kaabouch
A Secure Blockchain-based Communication Approach for UAV Networks. EIT (2020)
Tarek Elderini, Naima Kaabouch, Jeremiah Neubert
Space Occupancy Representation Based on A Bayesian Model for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 97 (2) (2020)
Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid. CoRR (2020)
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks. CoRR (2019)
Fatima Salahdine, Naima Kaabouch
Social Engineering Attacks: A Survey. Future Internet 11 (4) (2019)
Rabie Fadil, Andie Jackson, Badr Abou El Majd, Hassan El Ghazi, Naima Kaabouch
Segmentation of Microcalcifications in Mammograms: A comparative Study. EIT (2019)
Youness Arjoune, Wen-Chen Hu, Naima Kaabouch
Chebyshev Vandermonde-like Measurement Matrix Based Compressive Spectrum Sensing. EIT (2019)
Youness Arjoune, Naima Kaabouch
A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions. Sensors 19 (1) (2019)
Youness Arjoune, Naima Kaabouch
On Spectrum Sensing, a Machine Learning Method for Cognitive Radio Systems. EIT (2019)
Khaoula Belhaj Soulami, Elias Ghribi, Yassin Labyed, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch
Mixed-Reality Aided System for Glioblastoma Resection Surgery using Microsoft HoloLens. EIT (2019)
Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid. EIT (2019)
Mohsen Riahi Manesh, Naima Kaabouch
Cyber-attacks on unmanned aerial system networks: Detection, countermeasure, and future research directions. Comput. Secur. 85 (2019)
Mounia Bouabdellah, Elias Ghribi, Naima Kaabouch
RSS-Based Localization with Maximum Likelihood Estimation for PUE Attacker Detection in Cognitive Radio Networks. EIT (2019)
Mohsen Riahi Manesh, Jonathan Kenney, Wen-Chen Hu, Vijaya Kumar Devabhaktuni, Naima Kaabouch
Detection of GPS Spoofing Attacks on Unmanned Aerial Systems. CCNC (2019)
Zakaria El Mrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch
Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter. CoRR (2019)
Mohsen Riahi Manesh, Mahdi Saeedi Velashani, Elias Ghribi, Naima Kaabouch
Performance Comparison of Machine Learning Algorithms in Detecting Jamming Attacks on ADS-B0 Devices. EIT (2019)
Khaoula Belhaj Soulami, Elias Ghribi, Mohamed Nabil Saidi, Ahmed Tamtaoui, Naima Kaabouch
Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms. EIT (2019)
Paul D. Christenson, Cai Xia Yang, Naima Kaabouch
A Low Cost Through-Wall Radar for Vital Signs Monitoring. EIT (2019)
Mounia Bouabdellah, Naima Kaabouch, Faissal El Bouanani, Hussain Ben-Azza
Network layer attacks and countermeasures in cognitive radio networks: A survey. J. Inf. Secur. Appl. 38 (2018)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks. CoRR (2018)
Wassim Fassi Fihri, Youness Arjoune, Hassan El Ghazi, Naima Kaabouch, Badr Abou El Majd
A particle swarm optimization based algorithm for primary user emulation attack detection. CCWC (2018)
Youness Arjoune, Naima Kaabouch
Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach. Sensors 18 (6) (2018)
Youness Arjoune, Naima Kaabouch, Hassan El Ghazi, Ahmed Tamtaoui
A performance comparison of measurement matrices in compressive sensing. Int. J. Commun. Syst. 31 (10) (2018)
Mohsen Riahi Manesh, Youness Arjoune, Naima Kaabouch
A bit error rate estimation method for wireless communication systems. CCWC (2018)
Zakaria Elmrabet, Naima Kaabouch, Hassan El Ghazi, Hamid El Ghazi
Cyber-security in smart grid: Survey and challenges. Comput. Electr. Eng. 67 (2018)
Zakaria Elmrabet, Hassan El Ghazi, Naima Kaabouch, Hamid El Ghazi
Cyber-Security in Smart Grid: Survey and Challenges. CoRR (2018)
Zakaria Elmrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch
Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter. J. Sens. Actuator Networks 7 (3) (2018)
Mohsen Riahi Manesh, Naima Kaabouch
Security threats and countermeasures of MAC layer in cognitive radio networks. Ad Hoc Networks 70 (2018)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks. ICIT (2018)
Youness Arjoune, Naima Kaabouch, Hassan El Ghazi, Ahmed Tamtaoui
Compressive sensing: Performance comparison of sparse recovery algorithms. CCWC (2017)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks. Int. J. Commun. Syst. 30 (15) (2017)
Mohsen Riahi Manesh, Adnan Quadri, Sriram Subramaniam, Naima Kaabouch
An optimized SNR estimation technique using particle swarm optimization algorithm. CCWC (2017)
Mohsen Riahi Manesh, Naima Kaabouch
Interference Modeling in Cognitive Radio Networks: A Survey. CoRR (2017)
Mohsen Riahi Manesh, Naima Kaabouch, Hector Reyes, Wen-Chen Hu
A Bayesian approach to estimate and model SINR in wireless networks. Int. J. Commun. Syst. 30 (9) (2017)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
Techniques for dealing with uncertainty in cognitive radio networks. CCWC (2017)
Mohsen Riahi Manesh, Naima Kaabouch
Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system. Int. J. Crit. Infrastructure Prot. 19 (2017)
Tarek Elderini, Naima Kaabouch, Hector Reyes
Outage probability estimation technique based on a Bayesian model for cognitive radio networks. CCWC (2017)
Wassim Fassi Fihri, Hassan El Ghazi, Naima Kaabouch, Badr Abou El Majd
Bayesian decision model with trilateration for primary user emulation attack localization in cognitive radio networks. ISNCC (2017)
Wen-Chen Hu, Naima Kaabouch, Sara Faraji Jalal Apostal, Hung-Jen Yang
Location-aware mining for privacy-preserving location-based advertising. EIT (2017)
Mohsen Riahi Manesh, Sriram Subramaniam, Hector Reyes, Naima Kaabouch
Real-time spectrum occupancy monitoring using a probabilistic model. Comput. Networks 124 (2017)
Tarek Elderini, Naima Kaabouch, Hector Reyes
Channel quality estimation metrics in cognitive radio networks: a survey. IET Commun. 11 (8) (2017)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
Techniques for Dealing with Uncertainty in Cognitive Radio Networks. CoRR (2017)
Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch
Noise cancellation in cognitive radio systems: A performance comparison of evolutionary algorithms. CCWC (2017)
Debabrata Ghosh, Naima Kaabouch, Wen-Chen Hu
A robust iterative super-resolution mosaicking algorithm using an adaptive and directional Huber-Markov regularization. J. Vis. Commun. Image Represent. 40 (2016)
Naima Kaabouch, Richard R. Schultz, Barry Milavetz, Lata Balakrishnan
An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement. CoRR (2016)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
A survey on compressive sensing techniques for cognitive radio networks. Phys. Commun. 20 (2016)
Naima Kaabouch, Wen-Chen Hu, Yi Chen
Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning. CoRR (2016)
Mohsen Riahi Manesh, Md. Shakib Apu, Naima Kaabouch, Wen-Chen Hu
Performance evaluation of spectrum sensing techniques for cognitive radio systems. UEMCON (2016)
Mohsen Riahi Manesh, Naima Kaabouch, Hector Reyes, Wen-Chen Hu
A Bayesian model of the aggregate interference power in cognitive radio networks. UEMCON (2016)
Hector Reyes, Sriram Subramaniam, Naima Kaabouch, Wen-Chen Hu
A Bayesian inference method for estimating the channel occupancy. UEMCON (2016)
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
Matched filter detection with dynamic threshold for cognitive radio networks. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Naima Kaabouch