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Publications

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

Affichage des publications 691 à 700 sur 1523 au total

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

Detecting Virtual Harassment in Social Media Using Machine Learning

The escalating prevalence of cyberbullying stands as a significant challenge in our digital era, causing severe repercussions on individuals' mental health, well-being, and professional integrity. This paper introduces an innovative approach to…

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

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

Computer Science

Graph Neural Networks for Anomaly Detection in Internet of Medical Things

Recent advancements in the realm of Graph Neural Networks (GNN) have unveiled compelling new prospects for classifying and detecting anomalies within medical datasets. Within this study, we delve into the efficacy of GNNs by leveraging diverse…

Mickael Mohammed, Osman Salem, Ahmed Mehaoua

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

Computer Science

Detecting Abnormal Authentication Delays in Identity and Access Management using Machine Learning

Authentication delay is an important metric for measuring the performance and responsiveness of Identity and Access Management (IAM) systems. A sudden increase in authentication delay can indicate several problems, such as performance degradation,…

Jiahui Xiang, Osman Salem, Ahmed Mehaoua

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

Computer Science

Heart Disease Detection using the Internet of Medical Things

The deployment of Internet of Medical Things (IoMTs) for remote monitoring has grown exponentially as alternative for in-hospital diagnosis. The COVID-19 lockdown and the shortage of human and medical apparatus pushed the detection and diagnostics…

Osman Salem, Ahmed Mehaoua

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