Nils Niehues

According to our database, Nils Niehues authored at least 10 papers between 2024 and 2025.

Collaborative distances:

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

2025

Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection.

Robin Maisch, Larissa Schmid, Timur Saglam, Nils Niehues

CoRR, October, 2025

Supplementary Material for "Mitigation Strategies for Confidentiality Violations in Software Architecture Using Ranked Feature Importance".

Nils Niehues, Sebastian Hahner, Robert Heinrich

Dataset, August, 2025

Supplementary Material for "Strategies for Mitigating Confidentiality Violations in Software Architecture Using Ranked Feature Importance".

Nils Niehues, Sebastian Hahner, Robert Heinrich

Dataset, February, 2025

Supplementary Material for "An Architecture-Based Approach to Mitigate Confidentiality Violations Using Machine Learning".

Nils Niehues, Sebastian Hahner, Robert Heinrich

Dataset, January, 2025

An Architecture-Based Approach to Mitigate Confidentiality Violations Using Machine Learning.

Nils Niehues, Sebastian Hahner, Robert Heinrich

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

Mitigating Obfuscation Attacks on Software Plagiarism Detectors via Subsequence Merging.

Timur Saglam, Nils Niehues, Sebastian Hahner, Larissa Schmid

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering Education and Training, 2025

2024

Integrating Security-Enriched Data Flow Diagrams Into Architecture-Based Confidentiality Analysis.

Nils Niehues, Benjamin Arp, Tom Hüller, Felix Schwickerath, Nicolas Boltz, Sebastian Hahner

Softwaretechnik-Trends, November, 2024

Towards a Data Flow Diagram-Centric Confidentiality Analysis in Palladio.

Tom Hüller, Felix Schwickerath, Benjamin Arp, Nils Niehues, Nicolas Boltz, Sebastian Hahner

Softwaretechnik-Trends, November, 2024

Analyzing Cyclic Data Flow Diagrams Regarding Information Security.

Benjamin Arp, Nils Niehues, Tom Hüller, Felix Schwickerath, Nicolas Boltz, Sebastian Hahner

Softwaretechnik-Trends, November, 2024

ARC³N: A Collaborative Uncertainty Catalog to Address the Awareness Problem of Model-Based Confidentiality Analysis.

Sebastian Hahner, Nils Niehues, Nicolas Boltz, Mario Fuksa, Robert Heinrich

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024