Analyzing and revivifying function signature inference using deep learning
Function signature plays an important role in binary analysis and security enhancement, with typical examples in bug finding and control-flow integrity enforcement. However, recovery of function signatures by static binary analysis is challenging since crucial information vital for such recovery is...
Saved in:
Main Authors: | LIN, Yan, SINGHAL, Trisha, GAO, Debin, LO, David |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9621 https://ink.library.smu.edu.sg/context/sis_research/article/10621/viewcontent/emse24_FunctionSignature_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Analyzing and revivifying function signature inference using deep learning
by: LIN, Yan, et al.
Published: (2024) -
ReSIL: Revivifying function signature inference using deep learning with domain-specific knowledge
by: LIN, Yan, et al.
Published: (2022) -
Authorized function homomorphic signature
by: GUO, Qingwen, et al.
Published: (2018) -
Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
by: Saw, Vee-Liem, et al.
Published: (2023) -
Neural-network-based signature recognition for harmonic source identification
by: Srinivasan, D., et al.
Published: (2014)