Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yulduz Khodjaeva"'
Publikováno v:
Journal of Cyber Security and Mobility.
This paper explores the concept of entropy of a flow to augment flow statistical features for encrypted DNS tunnelling detection, specifically DNS over HTTPS traffic. To achieve this, the use of flow exporters, namely Argus, DoHlyzer and Tranalyzer2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1db3c5160c0876a3da66efb1eee6a3e4
https://doi.org/10.13052/jcsm2245-1439.1135
https://doi.org/10.13052/jcsm2245-1439.1135
Autor:
Yulduz Khodjaeva, Nur Zincir-Heywood
Publikováno v:
ARES
In this paper, we propose the concept of ”entropy of a flow” to augment flow statistical features for identifying malicious behaviours in DNS tunnels, specifically DNS over HTTPS traffic. In order to achieve this, we explore the use of three flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79790ea4c3729f545585ad4cf925be1
https://doi.org/10.1145/3465481.3470089
https://doi.org/10.1145/3465481.3470089