Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Osvaldo Arreche"'
Publikováno v:
IEEE Access, Vol 12, Pp 83830-83857 (2024)
The exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS). In this context, several AI techniques have been leveraged for aut
Externí odkaz:
https://doaj.org/article/26fbe6fe812d476aa001cf2c29c02650
Publikováno v:
IEEE Access, Vol 12, Pp 23954-23988 (2024)
The exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS). In particular, the need to understand and explain these AI models
Externí odkaz:
https://doaj.org/article/b02f180d2e7c4f84a8821d73c3f930cc
Publikováno v:
Sensors, Vol 24, Iss 11, p 3515 (2024)
The recent advancements in autonomous driving come with the associated cybersecurity issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI models for detecting anomalies on these networks. In this context, the usage of
Externí odkaz:
https://doaj.org/article/14d713ddb23d4877affc4c53e3ee28f6
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4170 (2024)
The exponential growth of network intrusions necessitates the development of advanced artificial intelligence (AI) techniques for intrusion detection systems (IDSs). However, the reliance on AI for IDSs presents several challenges, including the perf
Externí odkaz:
https://doaj.org/article/a6378e44aa794da9846926c6aec0c888