Detecting Malware Domains: A Cyber-Threat Alarm System
Document Type
Conference Proceeding
Source of Publication
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publication Date
1-1-2018
Abstract
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 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.
DOI Link
ISBN
9783319678368
ISSN
Publisher
Springer Verlag
Volume
206
First Page
181
Last Page
191
Disciplines
Business | Computer Sciences
Keywords
Botnets, Cyber-threat, DNS analysis, Malicious domains’ detection
Scopus ID
Recommended Citation
AlRoum, Khalifa; Alolama, Abdulhakim; Kamel, Rami; El Barachi, May; and Aldwairi, Monther, "Detecting Malware Domains: A Cyber-Threat Alarm System" (2018). All Works. 1217.
https://zuscholars.zu.ac.ae/works/1217
Indexed in Scopus
yes
Open Access
no