Guido Schwenk

A close look on n-grams in intrusion detection: anomaly detection vs. classification

Konrad Rieck, Christian Wressnegger, Guido Schwenk, 2013, AISec.

Autonomous learning for detection of JavaScript attacks: vision or reality?

Konrad Rieck, Guido Schwenk, Alexander Bikadorov, 2012, AISec '12.

Features and machine learning systems for structured and sequential data

Guido Schwenk, 2019 .

Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data

Klaus-Robert Müller, Guido Schwenk, Ben Jochinke, 2020, PloS one.

Botzilla: detecting the "phoning home" of malicious software

Konrad Rieck, Thorsten Holz, Guido Schwenk, 2010, SAC '10.

Detecting Behavioral and Structural Anomalies in MediaCloud Applications pdf

Guido Schwenk, Sebastian Bach, S. Bach, 2014, ArXiv.

Adaptive Detection of Covert Communication in HTTP Requests

Konrad Rieck, Guido Schwenk, K. Rieck, 2011, 2011 Seventh European Conference on Computer Network Defense.

Classification of structured validation data using stateless and stateful features

Klaus-Robert Müller, Ralf Pabst, Guido Schwenk, 2019, Comput. Commun..