Using Features of Encrypted Network Traffic to Detect Malware

Afzal, Zeeshan,1991-Karlstads universitet,KTH,Nätverk och systemteknik,Karlstad University Karlstad Sweden,Institutionen för matematik och datavetenskap (from 2013),KTH Royal Institute of Technology, Sweden,Datavetenskap, Computer Science (author)

Part of proceedings: ISBN 9783030708511, QC 20230118
Artikeln ingick som manuskript i Afzals (2020) doktorsavhandling Life of a Security Middlebox: Challenges with Emerging Protocols and Technologies
Encryption on the Internet is as pervasive as ever. This has protected communications and enhanced the privacy of users. Unfortunately, at the same time malware is also increasingly using encryption to hide its operation. The detection of such encrypted malware is crucial, but the traditional detection solutions assume access to payload data. To overcome this limitation, such solutions employ traffic decryption strategies that have severe drawbacks. This paper studies the usage of encryption for malicious and benign purposes using large datasets and proposes a machine learning based solution to detect malware using connection and TLS metadata without any decryption. The classification is shown to be highly accurate with high precision and recall rates by using a small number of features. Furthermore, we consider the deployment aspects of the solution and discuss different strategies to reduce the false positive rate.

Brunström, Anna,1967-Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Datavetenskap, Computer Science(Swepub:kau)annabrun (author)
Lindskog, Stefan,1967-Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),SINTEF Digital, Trondheim, NOR,Datavetenskap, Computer Science(Swepub:kau)steflind (author)
KTHNätverk och systemteknik (creator_code:org_t)

In:25th Nordic Conference on Secure IT Systems, NordSec 2020Cham : Springer Science and Business Media Deutschland GmbH, s. 37-53
In:Secure IT SystemsCham : Springer Science and Business Media Deutschland GmbH, s. 37-5397830307085119783030708528

By the author/editor: Afzal, Zeeshan, ...; Brunström, Anna, ...; Lindskog, Stefan ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Science ...

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