Detecting Code Reuse Attacks with Branch Prediction

Yongsuk Lee; Gyungho Lee

doi:10.1109/MC.2018.2141035

Detecting Code Reuse Attacks with Branch Prediction

Yongsuk Lee, Gyungho Lee

Research output: Contribution to specialist publication › Article

5 Citations (Scopus)

Abstract

Code reuse attacks (CRAs) allow attackers to produce malicious results by using legitimate code binaries in memory. The authors propose incorporating control-flow validation into the processors instruction execution pipeline, along with a mis-prediction validation unit and a branch prediction unit, to help identify attacks.

Original language	English
Pages	40-47
Number of pages	8
Volume	51
No.	4
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2018.2141035
Publication status	Published - 2018 Apr

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

CRA
code reuse attack
control-flow validation
cybercrime
cybersecurity
hacking
mis-prediction
security
software

ASJC Scopus subject areas

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MC.2018.2141035

Cite this

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title = "Detecting Code Reuse Attacks with Branch Prediction",

abstract = "Code reuse attacks (CRAs) allow attackers to produce malicious results by using legitimate code binaries in memory. The authors propose incorporating control-flow validation into the processors instruction execution pipeline, along with a mis-prediction validation unit and a branch prediction unit, to help identify attacks.",

keywords = "CRA, code reuse attack, control-flow validation, cybercrime, cybersecurity, hacking, mis-prediction, security, software",

author = "Yongsuk Lee and Gyungho Lee",

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year = "2018",

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KW - mis-prediction

KW - security

KW - software

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Detecting Code Reuse Attacks with Branch Prediction

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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