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pro vyhledávání: '"Soltani, Mahdi"'
The network security analyzers use intrusion detection systems (IDSes) to distinguish malicious traffic from benign ones. The deep learning-based IDSes are proposed to auto-extract high-level features and eliminate the time-consuming and costly signa
Externí odkaz:
http://arxiv.org/abs/2303.02622
The intrusion detection system (IDS) is an essential element of security monitoring in computer networks. An IDS distinguishes the malicious traffic from the benign one and determines the attack types targeting the assets of the organization. The mai
Externí odkaz:
http://arxiv.org/abs/2108.09199
The growing number of Internet users and the prevalence of web applications make it necessary to deal with very complex software and applications in the network. This results in an increasing number of new vulnerabilities in the systems, and leading
Externí odkaz:
http://arxiv.org/abs/2001.05009
Publikováno v:
In Journal of Energy Storage 15 September 2023 68
Publikováno v:
In Journal of Information Security and Applications August 2023 76
Akademický článek
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Autor:
Soltani, Mahdi, Beheshti, S. Hamidreza
Publikováno v:
In Journal of Energy Storage February 2021 34
Publikováno v:
In Journal of Energy Storage October 2020 31
Publikováno v:
In Journal of Energy Storage October 2020 31
Autor:
Soltani, Mahdi, Berckmans, Gert, Jaguemont, Joris, Ronsmans, Jan, Kakihara, Shouji, Hegazy, Omar, Van Mierlo, Joeri, Omar, Noshin
Publikováno v:
In Applied Thermal Engineering 5 May 2019 153:264-274