<div align="center">Measurement and Analysis of Autonomous Spreading

Malware in a University Environment
</div>

<div align="center">Jan Goebel1, Thorsten Holz2, and Carsten Willems2

1 RWTH Aachen University
Center for Computing and Communication
2 University of Mannheim
Laboratory for Dependable Distributed Systems</div>


Abstract. Autonomous spreading malware in the form of bots or worms is a constant
threat in today’s Internet. In the form of botnets, networks of compromised
machines that can be remotely controlled by an attacker, malware can cause lots
of harm. In this paper, we present a measurement setup to study the spreading
and prevalence of malware that propagates autonomously. We present the results
when observing about 16,000 IPs within a university environment for a period of
eight weeks.We collected information about 13,4 million successful exploits and
study the system- and network-level behavior of the collected 2,034 valid, unique
malware binaries.


Keywords: Honeypots, Malware, Invasive Software.

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