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2017
Conference Paper
Title
Packet-wise compression and forwarding of industrial network captures
Abstract
Network traffic captures are necessary for a variety of security applications like identification of malicious patterns or training of intrusion detection systems. While monitoring of enterprise networks is common practice, it is rarely done for industrial production environments due to low bandwidth, confidential production data and sensitive legacy components. To address these challenges, we present methods for non-interfering recording, compression, and transmission of industrial network packet captures. Since a large portion of industrial network traffic consists of status reports that change only slightly, we replace recurring byte strings per connection to reduce the data sent, which also provides a form of concealment We evaluate our approach by a prototypical implementation on self-generated and publicly available industrial network captures and compare our substitution algorithm to the standard zlib algorithm as well as a combination of both methods.