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GHOST Sensor: A Proactive Cyber Attack Monitoring Platform
Masashi ETO Tomohide TANAKA Koei SUZUKI Mio SUZUKI Daisuke INOUE Koji NAKAO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/04/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section PAPER (Special Section on Information and Communication System Security―Against Cyberattacks―)
Category: Attack Monitoring & Detection
network monitoring, cyber attack, darknet, honeypot, attack detection,
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A number of network monitoring sensors such as honeypot and web crawler have been launched to observe increasingly-sophisticated cyber attacks. Based on these technologies, there have been several large scale network monitoring projects launched to fight against cyber threats on the Internet. Meanwhile, these projects are facing some problems such as Difficulty of collecting wide range darknet, Burden of honeypot operation and Blacklisting problem of honeypot address. In order to address these problems, this paper proposes a novel proactive cyber attack monitoring platform called GHOST sensor, which enables effective utilization of physical and logical resources such as hardware of sensors and monitoring IP addresses as well as improves the efficiency of attack information collection. The GHOST sensor dynamically allocates targeted IP addresses to appropriate sensors so that the sensors can flexibly monitor attacks according to profiles of each attacker. Through an evaluation in a experiment environment, this paper presents the efficiency of attack observation and resource utilization.