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In this paper, we propose a method to identify and group together traces left on low interaction honeypots by machines belonging to the same botnet(s) without having any a priori information at our disposal regarding these botnets. In other terms, we offer a solution to detect new botnets thanks to very cheap and easily deployable solutions. The approach is validated thanks to several months of data...
Prediction of vulnerability discovery rates can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. An examination of the vulnerability data suggests a seasonal behavior that has not been modeled by the recently proposed vulnerability discovery models. This seasonality has not been identified or examined so far. This...
This paper presents a large scale longitudinal study of the spatial and temporal features of malicious source addresses. The basis of our study is a 402-day trace of over 7 billion Internet intrusion attempts provided by DShield.org, which includes 160 million unique source addresses. Specifically, we focus on spatial distributions and temporal characteristics of malicious sources. First, we find...
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