Cargando…
An efficient method to detect periodic behavior in botnet traffic by analyzing control plane traffic
Botnets are large networks of bots (compromised machines) that are under the control of a small number of bot masters. They pose a significant threat to Internet’s communications and applications. A botnet relies on command and control (C2) communications channels traffic between its members for its...
Autores principales: | AsSadhan, Basil, Moura, José M.F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294756/ https://www.ncbi.nlm.nih.gov/pubmed/25685512 http://dx.doi.org/10.1016/j.jare.2013.11.005 |
Ejemplares similares
-
Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics
por: Huancayo Ramos, Katherinne Shirley, et al.
Publicado: (2020) -
Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic
por: Al-mashhadi, Saif, et al.
Publicado: (2021) -
Illuminating traffic control for cell–division planes
por: Robatzek, Silke
Publicado: (2014) -
Innovative web applications for analyzing traffic operations
por: Petrovska, Natasha, et al.
Publicado: (2016) -
A novel traffic accident detection method with comprehensive traffic flow features extraction
por: Zhu, Liping, et al.
Publicado: (2022)