Consulter le flux RSS

Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 331 à 340 sur 1157 au total

Signal and Image processing

A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression

We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel

Image Processing On Line -

Computer Science

Using genetic algorithms to detect intrusions for IoT systems

The purpose of this paper is to develop an intrusion detection system for IoT systems using deep learning and the genetic algorithm to optimize (or, more precisely, compress) the model. To meet the security requirements of IoT systems, we aim to…

Riad Ziani, Amel Khamoum, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Computer Science

Machine Learning for IoT Devices Security Reinforcement

As more lightweight objects connect to the Internet, the Internet of Things (IoT) is changing our linked environment. Thus, IoT intrusion detection research must be high-quality to provide solutions. Network intrusion datasets are essential for…

Philippe Ea, Jiahui Xiang, Osman Salem, Ahmed Mehaoua

6th International Conference on Machine Learning for Networking (MLN'2023) -

Computer Science

Security Assessment of Bluetooth Just Works Pairing Method: Vulnerabilities and Enhancements

Bluetooth Low Energy (BLE) is used by many devices and Internet of Things (IoT) smart applications in numerous fields such as medication, home automation, transportation, and agriculture. It turns classic Bluetooth into a technology that can be…

Mohamed Yanis Sadaoui, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Computer Science

Evaluating Cyberbullying Detection Algorithm Performance in Text and Image Analysis

Cyberbullying has become a widespread concern in our society, and its detection has grown in significance. In recent years, machine learning algorithms have exhibited considerable potential in detecting cyberbullying. This paper presents an approach…

Philippe Ea, Jiahui Xiang, Osman Salem, Ahmed Mehaoua

The 2023 2nd International Conference on Machine Learning, Control, and Robotics (MLCR 2023) -

Computer Vision and Pattern Recognition

PRNU-Based Source Camera Statistical Certification

The problem of detecting the presence of a PRNU pattern in a query image can be stated as a hypothesis testing problem. The test statistics that have been proposed to perform this test all suffer from the same drawback: decision thresholds need to…

Marina Gardella, Pablo Musé, Miguel Colom, Jean-Michel Morel, Denis Perraud

2023 IEEE International Workshop on Information Forensics and Security (WIFS 2023) -

Computer Science

Soft Voting for Anomaly Detection in Internet of Medical Things

In this paper, we propose an approach for anomaly detection in Internet of Medical Things based on the soft voting between the most accurate machine learning algorithms. We compare 12 machines learning and 5 deep learning algorithms for anomaly…

Osman Salem, Ahmed Mehaoua, Raouf Boutaba

2023 IEEE Global Communications Conference (Globecom 23) -

Computer Science

Analysis of Different Machine Learning Models for Diabetes Prediction

This paper presents a comparative analysis of various machine learning models applied to a diabetes dataset. The study evaluates a range of ML algorithms, employing exploratory data analysis and feature engineering techniques. The primary objective…

Rym Moussaoui, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Computer Science

Detection of Cyberbullying in Online Comments Latest Advances and Challenges

Cyberbullying is a growing problem in today's digital society, with seriousconsequences for the mental health, professional life, and generalwell-being of victims. To combat this phenomenon, it is essential toeffectively detect cases of…

Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -