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2013 | OriginalPaper | Chapter

NetGator: Malware Detection Using Program Interactive Challenges

Authors : Brian Schulte, Haris Andrianakis, Kun Sun, Angelos Stavrou

Published in: Detection of Intrusions and Malware, and Vulnerability Assessment

Publisher: Springer Berlin Heidelberg

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Internet-borne threats have evolved from easy to detect denial of service attacks to zero-day exploits used for targeted exfiltration of data. Current intrusion detection systems cannot always keep-up with zero-day attacks and it is often the case that valuable data have already been communicated to an external party over an encrypted or plain text connection before the intrusion is detected.

In this paper, we present a scalable approach called

Network Interrogator (NetGator)

to detect network-based malware that attempts to exfiltrate data over open ports and protocols. NetGator operates as a transparent proxy using protocol analysis to first identify the declared client application using known network flow signatures.Then we craft packets that “challenge” the application by exercising functionality present in legitimate applications but too complex or intricate to be present in malware. When the application is unable to correctly solve and respond to the challenge, NetGator flags the flow as potential malware. Our approach is seamless and requires no interaction from the user and no changes on the commodity application software. NetGator introduces a minimal traffic latency (0.35 seconds on average) to normal network communication while it can expose a wide-range of existing malware threats.

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Metadata
Title
NetGator: Malware Detection Using Program Interactive Challenges
Authors
Brian Schulte
Haris Andrianakis
Kun Sun
Angelos Stavrou
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37300-8_10

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