Research Article
Detecting Malware Domains: A Cyber-Threat Alarm System
@INPROCEEDINGS{10.1007/978-3-319-67837-5_17, author={Khalifa AlRoum and Abdulhakim Alolama and Rami Kamel and May Barachi and Monther Aldwairi}, title={Detecting Malware Domains: A Cyber-Threat Alarm System}, proceedings={Emerging Technologies for Developing Countries. First International EAI Conference, AFRICATEK 2017, Marrakech, Morocco, March 27-28, 2017 Proceedings}, proceedings_a={AFRICATEK}, year={2017}, month={10}, keywords={DNS analysis Cyber-threat Malicious domains’ detection Botnets}, doi={10.1007/978-3-319-67837-5_17} }- Khalifa AlRoum
Abdulhakim Alolama
Rami Kamel
May Barachi
Monther Aldwairi
Year: 2017
Detecting Malware Domains: A Cyber-Threat Alarm System
AFRICATEK
Springer
DOI: 10.1007/978-3-319-67837-5_17
Abstract
Throughout the years, hackers’ intentions’ varied from curiosity, to financial gains, to political statements. Armed with their botnets, bot masters could crash a server or website. Statistics show that botnet activity accounts for 29% of the Internet traffic. But how can bot masters establish undetected communication with their botnets? The answer lies in the Domain Name System (DNS), using which hackers host their own domain and assign to it changing IP addresses to avoid being detected. In this paper, we propose a multi-factor cyber-threat detection system that relies on DNS traffic analysis for the detection of malicious domains. The proposed system was implemented, and tested, and the results yielded are very promising.
