463 citations · 981 across the 23 of their papers we have counts for
24 papers
A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
Taha M. Mahmoud, Naima Kaabouch
The rapid growth of the Internet of Things (IoT) has expanded opportunities for innovation but also increased exposure to botnet-driven cyberattacks. Conventional detection methods…
A Quantum-Secure Voting Framework Using QKD, Dual-Key Symmetric Encryption, and Verifiable Receipts
Taha M. Mahmoud, Naima Kaabouch
Electronic voting systems face growing risks from cyberattacks and data breaches, which are expected to intensify with the advent of quantum computing. To address these challenges,…
Leveraging Machine Learning for Botnet Attack Detection in Edge-Computing Assisted IoT Networks
Dulana Rupanetti, Naima Kaabouch
The increase of IoT devices, driven by advancements in hardware technologies, has led to widespread deployment in large-scale networks that process massive amounts of data daily. H…
A Comprehensive Survey on the Cyber-Security of Smart Grids: Cyber-Attacks, Detection, Countermeasure Techniques, and Future Directions
Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch
One of the significant challenges that smart grid networks face is cyber-security. Several studies have been conducted to highlight those security challenges. However, the majority…
Phishing Attacks Detection -- A Machine Learning-Based Approach
Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch
Phishing attacks are one of the most common social engineering attacks targeting users emails to fraudulently steal confidential and sensitive information. They can be used as a pa…
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication
Youness Arjoune, Fatima Salahdine, Md. Shoriful Islam +2
Jamming attacks target a wireless network creating an unwanted denial of service. 5G is vulnerable to these attacks despite its resilience prompted by the use of millimeter wave ba…
Metrics for Evaluating the Efficiency of Compressing Sensing Techniques
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
Compressive sensing has been receiving a great deal of interest from researchers in many areas because of its ability in speeding up data acquisition. This framework allows fast si…
A Performance Comparison of Data Mining Algorithms Based Intrusion Detection System for Smart Grid
Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch
Smart grid is an emerging and promising technology. It uses the power of information technologies to deliver intelligently the electrical power to customers, and it allows the inte…
A Cooperative Spectrum Sensing Scheme Based on Compressive Sensing for Cognitive Radio Networks
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
In this paper, a cooperative spectrum sensing scheme based on compressive sensing is proposed. In this scheme, secondary users (SUs) are organized in clusters. In each cluster, SUs…
Cyber-Security in Smart Grid: Survey and Challenges
Zakaria El Mrabet, Hassan El Ghazi, Naima Kaabouch +1
Smart grid uses the power of information technology to intelligently deliver energy to customers by using a two-way communication, and wisely meet the environmental requirements by…
Bayesian Compressive Sensing with Circulant Matrix for Spectrum Sensing in Cognitive Radio Networks
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
For wideband spectrum sensing, compressive sensing has been proposed as a solution to speed up the high dimensional signals sensing and reduce the computational complexity. Compres…
Compressive Sensing: Performance Comparison Of Sparse Recovery Algorithms
Youness Arjoune, Naima Kaabouch, Hassan El Ghazi +1
Spectrum sensing is an important process in cognitive radio. A number of sensing techniques that have been proposed suffer from high processing time, hardware cost and computationa…
Noise Cancellation in Cognitive Radio Systems: A Performance Comparison of Evolutionary Algorithms
Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch
Noise cancellation is one of the important signal processing functions of any communication system, as noise affects data integrity. In existing systems, traditional filters are us…
Denoising Signals in Cognitive Radio Systems Using An Evolutionary Algorithm Based Adaptive Filter
Adnan Quadri, Mohsen Riahi Manesh, Naima Kaabouch
Noise originating from several sources in a RF environment degrades the performance of communication systems. In wideband systems, such as cognitive radios, noise at the receiver c…
A Multidisciplinary Undergraduate Nanoscience and Nanotechnology Program at the University of North Dakota
Naima Kaabouch, Deborah Worley, Matt Cavalli +5
This paper describes some of the results of a National Science Foundation Nanotechnology Undergraduate Education project that aims to establish a nanoscience and nanotechnology pro…
Interference Modeling in Cognitive Radio Networks: A Survey
Mohsen Riahi Manesh, Naima Kaabouch
One of the fundamental elements impacting the performance of a wireless system is interference, which has been a long-term issue in wireless networks. In the case of cognitive radi…
Techniques for Dealing with Uncertainty in Cognitive Radio Networks
Fatima Salahdine, Naima Kaabouch, Hassan Ghazi
A cognitive radio system has the ability to observe and learn from the environment, adapt to the environmental conditions, and use the radio spectrum more efficiently. However, due…
Matched filter detection with dynamic threshold for cognitive radio networks
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi
-In cognitive radio networks, spectrum sensing aims to detect the unused spectrum channels in order to use the radio spectrum more efficiently. Various methods have been proposed i…
Automatic Techniques for Gridding cDNA Microarray Images
Naima Kaabouch, Hamid Shahbazkia
Microarray is considered an important instrument and powerful new technology for large-scale gene sequence and gene expression analysis. One of the major challenges of this techniq…
A Bayesian Network Model of the Bit Error Rate for Cognitive Radio Networks
Hector Reyes, Sriram Subramaniam, Naima Kaabouch
In addition to serve as platforms for dynamic spectrum access, cognitive radios can also serve as a method for improving the performance of wireless communication systems by smartl…
Spectrum Occupancy Measurement: An Autocorrelation based Scanning Technique using USRP
Sriram Subramaniam, Hector Reyes, Naima Kaabouch
This paper presents a technique for scanning and evaluating the radio spectrum use. This technique determines the average occupancy of a channel over a specific duration. The techn…
An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement
Naima Kaabouch, Richard R. Schultz, Barry Milavetz +1
Gel electrophoresis, a widely used technique to separate DNA according to their size and weight, generates images that can be analyzed automatically. Manual or semiautomatic image…
Improvement of the Orthogonal Code Convolution Capabilities Using FPGA Implementation
Naima Kaabouch, Aparna Dhirde, Saleh Faruque
When data is stored, compressed, or communicated through a media such as cable or air, sources of noise and other parameters such as EMI, crosstalk, and distance can considerably a…
Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning
Naima Kaabouch, Wen-Chen Hu, Yi Chen
Asymmetry analysis based on the overlapping of thermal images proved able to detect inflammation and, predict foot ulceration. This technique involves three main steps: segmentatio…