HONEYPOT TECHNOLOGIES FOR MALWARE DETECTION AND ANALYSIS
Abstract: In this paper, we offer a brief summary of latest developments in honeypot technologies, used for malware detection and analysis. This includes not only honeypot software, but also methodologies to analyze captured honeypot data. As such, our focus in this work is to keep track of current developments related to traffic analysis, especially honeypot technologies, as a means of data capture and interpretation of malicious traffic. Zero-day attacks are still very hard to predict, then handle, by any security platform. Means to successfully predict an attack is of paramount importance to the world of cybersecurity. Effective network security administration depends, to a great extent, on the understanding of existing and emerging threats propagated over the web. In order to protect information systems and its users, it is of crucial importance to collect accurate, concise, high-quality information about malicious activities, for security researchers to be able to reverse-engineer, then understand and stop a malicious actor.