Tim Sonnekalb

According to our database, Tim Sonnekalb authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper).

Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust

Proceedings of the 16th ZEUS Workshop, Ulm, Germany, February 29-March 1, 2024., 2024

2023

ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language.

Clemens-Alexander Brust, Tim Sonnekalb, Bernd Gruner

Comput. Secur., May, 2023

TIPICAL - Type Inference for Python In Critical Accuracy Level.

Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.

Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

A Static Analysis Platform for Investigating Security Trends in Repositories.

Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder

Proceedings of the 1st IEEE/ACM International Workshop on Software Vulnerability, 2023

2022

Deep security analysis of program code.

Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder

Empir. Softw. Eng., 2022

Generalizability of Code Clone Detection on CodeBERT.

Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

ROMEO: Exploring Juliet through the Lens of Assembly Language.

Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb

CoRR, 2021

Towards Visual Analytics Dashboards for Provenance-driven Static Application Security Testing.

Andreas Schreiber, Tim Sonnekalb, Lynn von Kurnatowski

Proceedings of the IEEE Symposium on Visualization for Cyber Security, 2021

Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps.

Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer

Proceedings of the Provenance and Annotation of Data and Processes, 2021

2020

Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode.

Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder

Softwaretechnik-Trends, 2020

2019

Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption.

Tim Sonnekalb, Sergio Lucia

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Machine-learning supported vulnerability detection in source code.

Tim Sonnekalb

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019