Zobrazeno 1 - 10
of 349
pro vyhledávání: '"encrypted traffic classification"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1428-1438 (2024)
Accurate classification of encrypted traffic plays an important role in network management. However, current methods confronts several problems: inability to characterize traffic that exhibits great dispersion, inability to classify traffic with mult
Externí odkaz:
https://doaj.org/article/3b4df5fb07c744ada8a3fe5c53820297
Publikováno v:
Egyptian Informatics Journal, Vol 26, Iss , Pp 100475- (2024)
As network infrastructures continue to grow and traffic encryption technologies evolve at a rapid pace, the task of classifying encrypted traffic has become significantly more intricate. These emerging encryption methods render conventional approache
Externí odkaz:
https://doaj.org/article/92774df4576e443fb5df385964e17dcf
Publikováno v:
Array, Vol 21, Iss , Pp 100338- (2024)
As data privacy issues become more and more sensitive, increasing numbers of websites usually encrypt traffic when transmitting it. This method can largely protect privacy, but it also brings a huge challenge. Aiming at the problem that encrypted tra
Externí odkaz:
https://doaj.org/article/71aff49f37014a4eb124cc6b0bc0b335
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1624 (2024)
Encrypted traffic classification is a crucial part of privacy-preserving research. With the great success of artificial intelligence technology in fields such as image recognition and natural language processing, how to classify encrypted traffic bas
Externí odkaz:
https://doaj.org/article/f22cf5ef656f4482b51d7d26786643f2
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3073 (2024)
The classification of encrypted traffic plays a crucial role in network management and security. As encrypted network traffic becomes increasingly complicated and challenging to analyze, there is a growing need for more efficient and comprehensive an
Externí odkaz:
https://doaj.org/article/ced3ffe849874212ad49fd9c9804ebf5
Publikováno v:
PeerJ Computer Science, Vol 9, p e1635 (2023)
Traffic classification is essential in network-related areas such as network management, monitoring, and security. As the proportion of encrypted internet traffic rises, the accuracy of port-based and DPI-based traffic classification methods has decl
Externí odkaz:
https://doaj.org/article/16f256760da84abd8a6d7a90d12209be
Publikováno v:
IEEE Access, Vol 11, Pp 97353-97372 (2023)
With the development of the network environment and the emergence of new applications, network traffic has become increasingly complex. This paper focuses on user behavior detection based on encrypted traffic analysis. User behavior information plays
Externí odkaz:
https://doaj.org/article/354ba395911447f8a1d1a0cc3c9f8018
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 10, Pp 77883-77897 (2022)
Although the widely-used Transport Layer Security (TLS) protocol hides application data, an unencrypted part of the TLS handshake, specifically the server name indication (SNI), is a backdoor for encrypted traffic classification frameworks. The recen
Externí odkaz:
https://doaj.org/article/607f3719c5bb4599a2843892c9148c42