Work

EmbedWatch: Fat Pointer Solution for Detecting Spatial Memory Errors in Embedded Systems

Year: 2024

Type: conference-paper

Abstract: This paper introduces EmbedWatch, an innovative crash reporting system specifically designed for embedded devices. EmbedWatch integrates fat pointer principles with remote attestation, efficiently addressing spatial memory errors across various memory segments, including stack, heap, and global variables. The system's notable feature is its vulnerability analysis capability, which precisely pinpoints the exact code segment responsible for an error, significantly enhancing error detection and resolution accuracy. We assess the effectiveness and practicality of EmbedWatch by evaluating realworld firmware and CWEs. We show that EmbedWatch accurately detects the vulnerability analysis of spatial memory errors in the analyzed firmware with a negligible overhead range (0.01% - 2.33%), geometric mean 0.228 +0.4% encryption protocol

DOI: 10.1145/3690134.3694815

Authors: Davide Rusconi, Matteo Zoia, Luca Buccioli, Fabio Pierazzi, Danilo Bruschi, Lorenzo Cavallaro, Flavio Toffalini, Andrea Lanzi

Institutions: University of Milan, King's College London, University College London, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Security and Verification in Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Universitas Brawijaya

Award: G4786660484

OpenAlex ID: W4404612252

FWCI:

Cites: 20

Cited by:

Related to: 10