Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Poisson, Manuel"'
Publikováno v:
CSET - 17th Cyber Security Experimentation and Test Workshop, Aug 2024, Philadelphia, United States. pp.1-9, \&\#x27E8;10.1145/3675741.3675753\&\#x27E9
In recent years, machine learning-based anomaly detection (AD) has become an important measure against security threats from Internet of Things (IoT) networks. Machine learning (ML) models for network traffic AD require datasets to be trained, evalua
Externí odkaz:
http://arxiv.org/abs/2407.07456
Autor:
Poisson, Manuel, Tong, Valérie Viet Triem, Guette, Gilles, Guihéry, Frédéric, Crémilleux, Damien
Publikováno v:
CyberHunt 2023, Workshop on Cyber Threat Intelligence and Hunting, IEEE BigData, Dec 2023, Sorrento, Italy. pp.1-5
In cybersecurity, CVEs (Common Vulnerabilities and Exposures) are publicly disclosed hardware or software vulnerabilities. These vulnerabilities are documented and listed in the NVD database maintained by the NIST. Knowledge of the CVEs impacting an
Externí odkaz:
http://arxiv.org/abs/2312.02585
Autor:
Poisson, Manuel, Viet Triem Tong, Valérie, Guette, Gilles, Abgrall, Erwan, Guihéry, Frédéric, Crémilleux, Damien
Publikováno v:
2023 7th Cyber Security in Networking Conference (CSNet)
CSNet 2023-7th Cyber Security in Networking Conference
CSNet 2023-7th Cyber Security in Networking Conference, IEEE ComSoc, Oct 2023, Montreal, Canada. pp.1-7
CSNet 2023-7th Cyber Security in Networking Conference
CSNet 2023-7th Cyber Security in Networking Conference, IEEE ComSoc, Oct 2023, Montreal, Canada. pp.1-7
International audience; When an attacker targets a system, he aims to remain undetected as long as possible. He must therefore avoid performing actions that are characteristic of an identified malicious behavior. One way to avoid detection is to only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2755::adef0ade0047d7b16c6f7330eeb7feef
https://inria.hal.science/hal-04163780/file/paper_csnet.pdf
https://inria.hal.science/hal-04163780/file/paper_csnet.pdf