Matthew Revelle, Matt Parker, Kevin Orr (Kudu Dynamics)

Blaze is an open-source binary analysis framework that supports the construction and manipulation of inter-procedural control-flow graphs (ICFGs) and type checking on a lifted representation of program binaries. All analyses in Blaze are implemented in terms of a typed intermediate language—Path Intermediate Language (PIL). Blaze includes a unification-based type checker for PIL which is used to support the generation of SMT formulas and type inference. Blaze has been used to develop tools for reverse engineering and vulnerability discovery and provides a foundation for exploring the use of type systems and higher-level abstractions in the analysis of program binaries. This paper provides an overview of Blaze’s implementation, capabilities, and applications.

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Wei Sun, Kannan Srinivsan (The Ohio State University)

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Jonathan Crussell (Sandia National Laboratories)

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Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning

Sampath Rajapaksha (Robert Gordon University), Harsha Kalutarage (Robert Gordon University), M.Omar Al-Kadri (Birmingham City University), Andrei Petrovski (Robert Gordon University), Garikayi Madzudzo (Horiba Mira Ltd)

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