Unveiling Hidden Structures: Multi-Platform IoT Malware Analysis Using Graph Embeddings

Unveiling Hidden Structures: Multi-Platform IoT Malware Analysis Using Graph Embeddings

This paper explores the use of control-flow information for detecting IoT malware across three different platforms. We propose a pipeline which extracts Control-Flow Graphs (CFGs) from program binaries, projects them onto an embedding space, then computes the similarity between the programs, in an a...

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Bibliographic Details
Main Authors: Remus M. Petrache, Ciprian Oprisa, Camelia Lemnaru
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Control-flow graph
graph embeddings
graph similarity
IoT malware
mirai
Online Access:https://ieeexplore.ieee.org/document/11052297/
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https://ieeexplore.ieee.org/document/11052297/

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