Abstract
Domain-generation algorithms (DGAs) allow attackers to manage infection-spreading websites and command-and-control (C&C) deployments by altering domain names on a timely basis. DGAs have made the infection and C&C architecture more robust and supportive for attackers. This detailed taxonomy of DGAs highlights the problem and offers solutions to combat DGAs through detection of drive-by download and C&C activity from the compromised machine.
| Original language | English |
|---|---|
| Article number | 7535098 |
| Pages (from-to) | 46-53 |
| Number of pages | 8 |
| Journal | IEEE Security and Privacy |
| Volume | 14 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 1 2016 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- AGD
- DGA
- algorithmically generated domain
- botnets
- cybercrime
- domain-generation algorithm
- malware
- security
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Law
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