Search Results for author: Naima Kaabouch

Found 7 papers, 0 papers with code

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

no code implementations22 Jun 2022 Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch

In this survey paper, we provide a classification of attacks based on the OSI model and discuss in more detail the cyber-attacks that can target the different layers of smart grid networks communication.

Phishing Attacks Detection -- A Machine Learning-Based Approach

no code implementations26 Jan 2022 Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch

Over the last decade, a number of anti-phishing techniques have been proposed to detect and mitigate these attacks.

BIG-bench Machine Learning

Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter

no code implementations8 Mar 2019 Zakaria El Mrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch

Primary user emulation attacks are one of the most severe attacks in which a malicious user emulates the primary user signal characteristics to either prevent other legitimate secondary users from accessing the idle channels or causing harmful interference to the primary users.

valid

Automatic Techniques for Gridding cDNA Microarray Images

no code implementations3 Jul 2016 Naima Kaabouch, Hamid Shahbazkia

One of the major challenges of this technique is the image processing phase.

Template Matching

An Analysis System for DNA Gel Electrophoresis Images Based on Automatic Thresholding an Enhancement

no code implementations3 Jul 2016 Naima Kaabouch, Richard R. Schultz, Barry Milavetz, Lata Balakrishnan

Automatic thresholding, used to equalize the gray values of the gel electrophoresis image background, is one of the novel operations in this algorithm.

Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning

no code implementations11 Jun 2016 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.

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