DocumentCode
1788942
Title
Honeypots deployment for the analysis and visualization of malware activity and malicious connections
Author
Koniaris, Ioannis ; Papadimitriou, G. ; Nicopolitidis, P. ; Obaidat, Mohammad
Author_Institution
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fYear
2014
fDate
10-14 June 2014
Firstpage
1819
Lastpage
1824
Abstract
Honeypots are systems aimed at deceiving threat agents. In most of the cases the latter are cyber attackers with financial motivations, and malicious software with the ability to launch automated attacks. Honeypots are usually deployed as either production systems or as research units to study the methods employed by attackers. In this paper we present the results of two distinct research honeypots. The first acted as a malware collector, a device usually deployed in order to capture self-propagating malware and monitor their activity. The second acted as a decoy server, dropping but logging every malicious connection attempt. Both of these systems have remained online for a lengthy period of time to study the aforementioned malicious activity. During this assessment it was shown that human attackers and malicious software are constantly attacking servers, trying to break into systems or spread across networks. It was also shown that the usage of honeypots for malware monitoring and attack logging can be very effective and provide valuable data. Lastly, we present an open source visualization tool which was developed to help security professionals and researchers during the analysis and conclusion drawing phases, for use with one of the systems fielded in our study.
Keywords
data visualisation; invasive software; public domain software; cyber attackers; financial motivations; honeypots deployment; malicious connections; malicious software; malware activity; open source visualization tool; threat agents; Data visualization; Grippers; IP networks; Malware; Ports (Computers); Servers; Software; data visualization; honeypot; intrusion detection; log file analysis; malware;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2014 IEEE International Conference on
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/ICC.2014.6883587
Filename
6883587
Link To Document