Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Domain generation algorithm"'
Publikováno v:
IEEE Access, Vol 12, Pp 123716-123730 (2024)
Attackers are known to utilize domain generation algorithms (DGAs) to generate domain names for command and control (C&C) servers and facilitate the distribution of uniform resource locators within malicious software. DGAs pose a significant threat t
Externí odkaz:
https://doaj.org/article/f2685c6a03484fd5bf75468bfe7a02dd
Publikováno v:
Mathematics, Vol 12, Iss 5, p 626 (2024)
As the most commonly used attack strategy by Botnets, the Domain Generation Algorithm (DGA) has strong invisibility and variability. Using deep learning models to detect different families of DGA domain names can improve the network defense ability a
Externí odkaz:
https://doaj.org/article/5fc3e314f1ea4078bcca4e753a375113
Publikováno v:
IEEE Access, Vol 10, Pp 69250-69263 (2022)
Botnets are currently one of the main cyber security threats. In order to enhance the concealment, botnets usually use Domain Generation Algorithm (DGA) to establish communication between bots and command and control servers. Character-based deep lea
Externí odkaz:
https://doaj.org/article/6da3e91be9684c309ef7c6e2a20acd4c
Autor:
Y. V. Bubnov, N. N. Ivanov
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 19, Iss 2, Pp 91-99 (2021)
An effective method for preventing the operation of computer network nodes for organizing a botnet is proposed. A botnet is a collection of devices connected via the Internet for the purpose of organizing DDoS attacks, stealing data, sending spam and
Externí odkaz:
https://doaj.org/article/1c6ea204f8134396a8b20048e7f5c46d
Publikováno v:
网络与信息安全学报, Vol 6, Pp 112-120 (2020)
The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious d
Externí odkaz:
https://doaj.org/article/bec25a0fed594a8a846533aeff1b35d3
Publikováno v:
网络与信息安全学报, Vol 6, Iss 6, Pp 112-120 (2020)
The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed, which can make it closer to the actual application. Based on the above considerations, a lightweight maliciou
Externí odkaz:
https://doaj.org/article/59111e8d741841d4b84fc805252e56d5
Publikováno v:
Cybersecurity, Vol 3, Iss 1, Pp 1-13 (2020)
Abstract Command and control (C2) servers are used by attackers to operate communications. To perform attacks, attackers usually employee the Domain Generation Algorithm (DGA), with which to confirm rendezvous points to their C2 servers by generating
Externí odkaz:
https://doaj.org/article/d5581abf26d1498684a6f5edcdc82f9d
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 1, Pp 1837-1849 (2020)
Some of the most serious security threats facing computer networks involve malware. To prevent malware-related damage, administrators must swiftly identify and remove the infected machines that may reside in their networks. However, many malware fami
Externí odkaz:
https://doaj.org/article/fbd2e9be51ee45579d3bd9a4709d2ac8
Publikováno v:
IEEE Access, Vol 8, Pp 82876-82889 (2020)
Distinguishing malicious domain names generated by various domain generation algorithms (DGA) is critical for defending a network against sophisticated network attacks. In recent years, stealthy domain generation algorithms (SDGA) have been proposed
Externí odkaz:
https://doaj.org/article/80fbff33b8ac4182ac82a1ad65cf65c0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.