An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things

Autor: Chahira Mahjoub, Monia Hamdi, Reem Ibrahim Alkanhel, Safa Mohamed, Ridha Ejbali

Publikováno v: EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-23 (2024)

Abstract The increasing prevalence of Internet of Things (IoT) systems has made them attractive targets for malicious actors. To address the evolving threats and the growing complexity of detection, there is a critical need to search for and develop

Externí odkaz: https://doaj.org/article/d32c42dcf4af438188aeefc33cd1184b

Interactive interface for spatio-temporal mapping of epileptic human brain using characteristics of high frequency oscillations (HFOs)

Autor: Sahbi Chaibi, Chahira Mahjoub, Régine Le Bouquin Jeannès, Abdennaceur Kachouri

Publikováno v: Biomedical Signal Processing and Control
Biomedical Signal Processing and Control, 2023, 85, pp.105041. ⟨10.1016/j.bspc.2023.105041⟩

International audience; Spontaneous High Frequency Oscillations (HFOs) have been considered as emerging specific biomarkers of the epileptogenic region. As a first issue, a significant difference in the implementation of automatic HFOs detection meth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f90080dbbc11cd356cd870274848aba
https://hal.science/hal-04123254

Pitfalls of spikes filtering for detecting High Frequency Oscillations (HFOs)

Autor: Abdennaceur Kachouri, Sahbi Chaibi, Chahira Mahjoub, Regine Le Bouquin Jeannes, Fatma Krikid, Ahmad Karfoul

Publikováno v: SSD
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021, Mar 2021, Monastir, Tunisia. pp.427-432, ⟨10.1109/SSD52085.2021.9429411⟩

International audience; Cerebral High Frequency Oscillations (HFOs) have recently been discovered in epileptic EEG recordings. HFOs have been defined as spontaneous rhythmic oscillations with short duration, operating approximately in the frequency r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b187eba1aa6f890b96f0d9a880c0b82
https://doi.org/10.1109/ssd52085.2021.9429411

Epileptic seizure detection using Multivariate Empirical Mode Decomposition and Support Vector Machines

Autor: Regine Le Bouquin Jeannes, Fatma Krikid, Abdennaceur Kachouri, Anca Nica, Chahira Mahjoub, Sahbi Chaibi

Publikováno v: 2020 IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2020
2020 IEEE International Conference on Design and Test of Integrated Micro and Nano-Systems, DTS 2020, Jun 2020, Hammamet, Tunisia. pp.9196156, ⟨10.1109/DTS48731.2020.9196156⟩

International audience; Automatic detection of epileptic seizures is a very crucial step for diagnosing patients with drug-resistant epilepsies. If visual analysis of long-term electroencephalographic signals is the most reliable technique, automatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcbf14ee2c7ea78ff18cd717eacf17e3
https://doi.org/10.1109/dts48731.2020.9196156

On the performance of temporal Granger causality measurements on time series: a comparative study

Autor: Chahira Mahjoub, Abdennaceur Kachouri, Jean-Jacques Bellanger, Regine Le Bouquin Jeannes

Publikováno v: Signal, Image and Video Processing
Signal, Image and Video Processing, Springer Verlag, 2020, 14 (5), pp.955-963. ⟨10.1007/s11760-019-01627-w⟩
Signal, Image and Video Processing, 2020, 14 (5), pp.955-963. ⟨10.1007/s11760-019-01627-w⟩

International audience; Nowadays, Granger causality techniques are frequently applied to investigate complex dynamical systems such as brain networks. Indeed, various derivations have been proposed from the initially basic definition of the Granger c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ada634f017d1af8379d8f1788fe8365
https://hal-univ-rennes1.archives-ouvertes.fr/hal-02498045