Naima Kaabouch

According to our database1, Naima Kaabouch authored at least 128 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks.
Future Internet, 2024

2023
Deep learning: systematic review, models, challenges, and research directions.
Neural Comput. Appl., November, 2023

Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions.
Comput., September, 2023

Machine Learning Modeling of GPS Features with Applications to UAV Location Spoofing Detection and Classification.
Comput. Secur., March, 2023

A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems.
Inf., February, 2023

Range-Free Localization Approaches Based on Intelligent Swarm Optimization for Internet of Things.
Inf., 2023

Machine Learning: Models, Challenges, and Research Directions.
Future Internet, 2023

A Machine Learning Approach for the Detection of Injection Attacks on ADS-B Messaging Systems.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

A Real-time Machine Learning-based GPS Spoofing Solution for Location-dependent UAV Applications.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

A Comparative Analysis of Two Deep Learning Neural Networks for Defect Detection in Steel Structures Using UAS.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

ACapsule Q-Learning Based Reinforcement Model for Intrusion Detection System on Smart Grid.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Supervised Deep Learning Models for Detecting GPS Spoofing Attacks on Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Segmentation of fatigue cracks in ancillary steel structures using deep learning convolutional neural networks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022
A DATASET for GPS Spoofing Detection on Autonomous Vehicles.
Dataset, November, 2022

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs.
Sensors, 2022

A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions.
CoRR, 2022

Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection.
Concurr. Comput. Pract. Exp., 2022

Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network.
Biomed. Signal Process. Control., 2022

Densely Connected Neural Networks for Detecting Denial of Service Attacks on Smart Grid Network.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

ADS-B Message Injection Attack on UAVs: Assessment of SVM-based Detection Techniques.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

Real-time Classification of Jamming Attacks against UAVs via on-board Software-defined Radio and Machine Learning-based Receiver Module.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

A UAV Payload for Real-time Inspection of Highway Ancillary Structures.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

Residual Convolutional Network for Detecting Attacks on Intrusion Detection Systems in Smart Grid.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

A Comparative Analysis of Supervised and Unsupervised Models for Detecting GPS Spoofing Attack on UAVs.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

A Deep Learning Multi-Task Approach for the Detection of Alzheimer's Disease in a Longitudinal Study.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

A Light Boosting-based ML Model for Detecting Deceptive Jamming Attacks on UAVs.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

A Comparative Analysis of the Ensemble Models for Detecting GPS Spoofing attacks on UAVs.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

Instance-based Supervised Machine Learning Models for Detecting GPS Spoofing Attacks on UAS.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation.
Biomed. Signal Process. Control., 2021

Phishing Attacks Detection A Machine Learning-Based Approach.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Boosting-based Models with Tree-structured Parzen Estimator Optimization to Detect Intrusion Attacks on Smart Grid.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

A Comparative Study of Machine Learning Models for Cyber-attacks Detection in Wireless Sensor Networks.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Tree-based Supervised Machine Learning Models For Detecting GPS Spoofing Attacks on UAS.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

A Stacking-based Ensemble Learning Model with Genetic Algorithm For detecting Early Stages of Alzheimer's Disease.
Proceedings of the IEEE International Conference on Electro Information Technology, 2021

Ensemble Learning Methods for Anomaly Intrusion Detection System in Smart Grid.
Proceedings of the IEEE International Conference on Electro Information Technology, 2021

Simulation Testbeds and Frameworks for UAV Performance Evaluation.
Proceedings of the IEEE International Conference on Electro Information Technology, 2021

Breast Cancer: Classification of Tumors Using Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2021

2020
Security threats, detection, and countermeasures for physical layer in cognitive radio networks: A survey.
Phys. Commun., 2020

An evaluation and ranking of evolutionary algorithms in segmenting abnormal masses in digital mammograms.
Multim. Tools Appl., 2020

Space Occupancy Representation Based on A Bayesian Model for Unmanned Aerial Vehicles.
J. Intell. Robotic Syst., 2020

Social Engineering Attacks A Reconnaissance Synthesis Analysis.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Metrics for Evaluating the Efficiency of Compressing Sensing Techniques.
Proceedings of the 2020 International Conference on Information Networking, 2020

A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication.
Proceedings of the 2020 International Conference on Information Networking, 2020

Direction Finding Antenna using Rotating Radome.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Biomarkers Selection Toward Early Detection of Alzheimer's Disease.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

A Secure Blockchain-based Communication Approach for UAV Networks.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Breast Microcalcifications Detection using TR-MUSIC Algorithm.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Classification of Microcalcifications in Mammograms using 2D Discrete Wavelet Transform and Random Forest.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

Visualizing and Predicting Culex Tarsalis Trapcounts for West Nile Virus (WNV) Disease Incidence using Machine Learning Models.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

2019
A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions.
Sensors, 2019

Social Engineering Attacks: A Survey.
Future Internet, 2019

A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks.
CoRR, 2019

Cyber-attacks on unmanned aerial system networks: Detection, countermeasure, and future research directions.
Comput. Secur., 2019

Breast Cancer: Segmentation of Mammograms using Invasive Weed optimization and SUSAN algorithms.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Mixed-Reality Aided System for Glioblastoma Resection Surgery using Microsoft HoloLens.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Performance Comparison of Machine Learning Algorithms in Detecting Jamming Attacks on ADS-B0 Devices.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Segmentation of Microcalcifications in Mammograms: A comparative Study.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

A Low Cost Through-Wall Radar for Vital Signs Monitoring.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

RSS-Based Localization with Maximum Likelihood Estimation for PUE Attacker Detection in Cognitive Radio Networks.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

On Spectrum Sensing, a Machine Learning Method for Cognitive Radio Systems.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Chebyshev Vandermonde-like Measurement Matrix Based Compressive Spectrum Sensing.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

Detection of GPS Spoofing Attacks on Unmanned Aerial Systems.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

2018
Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach.
Sensors, 2018

Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter.
J. Sens. Actuator Networks, 2018

Network layer attacks and countermeasures in cognitive radio networks: A survey.
J. Inf. Secur. Appl., 2018

A performance comparison of measurement matrices in compressive sensing.
Int. J. Commun. Syst., 2018

Cyber-security in smart grid: Survey and challenges.
Comput. Electr. Eng., 2018

Security threats and countermeasures of MAC layer in cognitive radio networks.
Ad Hoc Networks, 2018

One-bit compressive sensing vs. multi-bit compressive sensing for cognitive radio networks.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

A bit error rate estimation method for wireless communication systems.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

A particle swarm optimization based algorithm for primary user emulation attack detection.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

2017
A Bayesian recovery technique with Toeplitz matrix for compressive spectrum sensing in cognitive radio networks.
Int. J. Commun. Syst., 2017

A Bayesian approach to estimate and model SINR in wireless networks.
Int. J. Commun. Syst., 2017

Analysis of vulnerabilities, attacks, countermeasures and overall risk of the Automatic Dependent Surveillance-Broadcast (ADS-B) system.
Int. J. Crit. Infrastructure Prot., 2017

Channel quality estimation metrics in cognitive radio networks: a survey.
IET Commun., 2017

Interference Modeling in Cognitive Radio Networks: A Survey.
CoRR, 2017

Real-time spectrum occupancy monitoring using a probabilistic model.
Comput. Networks, 2017

Bayesian decision model with trilateration for primary user emulation attack localization in cognitive radio networks.
Proceedings of the 2017 International Symposium on Networks, Computers and Communications, 2017

Location-aware mining for privacy-preserving location-based advertising.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017

Techniques for dealing with uncertainty in cognitive radio networks.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

Noise cancellation in cognitive radio systems: A performance comparison of evolutionary algorithms.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

An optimized SNR estimation technique using particle swarm optimization algorithm.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

Outage probability estimation technique based on a Bayesian model for cognitive radio networks.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

Compressive sensing: Performance comparison of sparse recovery algorithms.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

2016
A survey on compressive sensing techniques for cognitive radio networks.
Phys. Commun., 2016

A robust iterative super-resolution mosaicking algorithm using an adaptive and directional Huber-Markov regularization.
J. Vis. Commun. Image Represent., 2016

A survey on image mosaicing techniques.
J. Vis. Commun. Image Represent., 2016

Spectrum Occupancy Measurement: An Autocorrelation based Scanning Technique using USRP.
CoRR, 2016

Matched filter detection with dynamic threshold for cognitive radio networks.
CoRR, 2016

A Bayesian Network Model of the Bit Error Rate for Cognitive Radio Networks.
CoRR, 2016

An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement.
CoRR, 2016

Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning.
CoRR, 2016

Improvement of the Orthogonal Code Convolution Capabilities Using FPGA Implementation.
CoRR, 2016

A spectrum sensing technique based on autocorrelation and Euclidean distance and its comparison with energy detection for cognitive radio networks.
Comput. Electr. Eng., 2016

Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

A Bayesian inference method for estimating the channel occupancy.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Denoising signals in cognitive radio systems using an evolutionary algorithm based adaptive filter.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

A Bayesian model of the aggregate interference power in cognitive radio networks.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Performance evaluation of spectrum sensing techniques for cognitive radio systems.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Secure spatial trajectory prediction based on traffic flows.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

A survey on decentralized random access MAC protocols for cognitive radio networks.
Proceedings of the International Conference on Advanced Communication Systems and Information Security, 2016

2015
Matched filter detection with dynamic threshold for cognitive radio networks.
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2015

Evaluation of TR-MUSIC algorithm efficiency in detecting breast microcalcifications.
Proceedings of the IEEE International Conference on Electro/Information Technology, 2015

2014
Spectrum Channel Characterization Using Delay and Doppler Spread Parameters.
J. Commun., 2014

Privacy-Preserving Spatial Trajectory Prediction Based on a Novel Matrix Representation.
Int. J. Handheld Comput. Res., 2014

Robust Spatial-Domain Based Super-Resolution Mosaicing of CubeSat Video Frames: Algorithm and Evaluation.
Comput. Inf. Sci., 2014

2013
A survey of medical imaging techniques used for breast cancer detection.
Proceedings of the IEEE International Conference on Electro-Information Technology , 2013

A novel matrix representation for privacy-preserving spatial trajectory prediction.
Proceedings of the IEEE International Conference on Electro-Information Technology , 2013

2012
Route Anomaly Detection Using a Linear Route Representation.
J. Comput. Networks Commun., 2012

Fuzzy Logic Method for Link Loss Detection during Unmanned Aerial Vehicle Flights.
Proceedings of the Infotech@Aerospace 2012, 2012

Scene Classification and Landmark Spotting in Multilayer Image Mosaic for UAVs in GPS-denied Situations.
Proceedings of the Infotech@Aerospace 2012, 2012

Incorporating Terrain Avoidance into a Small UAS Sense and Avoid System.
Proceedings of the Infotech@Aerospace 2012, 2012

Flight Testing of a Right-of-Way Compliant ADS-B-based Miniature Sense and Avoid System.
Proceedings of the Infotech@Aerospace 2012, 2012

Quantitative evaluation of image mosaicing in multiple scene categories.
Proceedings of the 2012 IEEE International Conference on Electro/Information Technology, 2012

Characteristics of the Terahertz sources suitable for biomedical applications.
Proceedings of the 2012 IEEE International Conference on Electro/Information Technology, 2012

Investigation of biological effects associated with Terahertz radiation.
Proceedings of the 2012 IEEE International Conference on Electro/Information Technology, 2012

Hierarchical multi-level image mosaicing for autonomous navigation of UAV.
Proceedings of the Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 2012

Motivating and retaining engineering students by integrating real world engineering problems into the calculus courses.
Proceedings of the IEEE Global Engineering Education Conference, 2012

2011
Enhancement of the asymmetry-based overlapping analysis through features extraction.
J. Electronic Imaging, 2011

2009
Asymmetry analysis based on genetic algorithms for the prediction of foot ulcers.
Proceedings of the Visualization and Data Analysis, 2009

Mobile Data Protection Using Handheld Usage Context Matching.
Proceedings of the MDM 2009, 2009

2008
FPGA based design of a novel enhanced error detection and correction technique.
Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008

Automatic techniques for gridding CDNA microarray images.
Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008

Automatic Macroarray Analysis - Tool and Methods.
Proceedings of the ISCA 21st International Conference on Computer Applications in Industry and Engineering, 2008

2007
A 2-D gel electrophoresis DNA image analysis algorithm with automatic thresholding.
Proceedings of the Visual Communications and Image Processing 2007, 2007

Gel Electrophoresis Image Segmentation and Band Detection Based on the Derivative of the Standard Deviation.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

A Novel Automated Analysis System for DNA Gel Electrophoresis Images.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007


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