VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR

Schilling J, Mueller T (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: SPRINGER INTERNATIONAL PUBLISHING AG

City/Town: CHAM

Pages Range: 96-115

Conference Proceedings Title: DETECTION OF INTRUSIONS AND MALWARE, AND VULNERABILITY ASSESSMENT, DIMVA 2022

Event location: Cagliari IT

DOI: 10.1007/978-3-031-09484-2_6

Authors with CRIS profile

Joschua Schilling Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Involved external institutions

Hochschule für Angewandte Wissenschaften Hof DE Germany (DE)

How to cite

APA:

Schilling, J., & Mueller, T. (2022). VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR. In DETECTION OF INTRUSIONS AND MALWARE, AND VULNERABILITY ASSESSMENT, DIMVA 2022 (pp. 96-115). Cagliari, IT: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.

MLA:

Schilling, Joschua, and Tilo Mueller. "VANDALIR: Vulnerability Analyses Based on Datalog and LLVM-IR." Proceedings of the 19th International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA), Cagliari CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. 96-115.

BibTeX: Download