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

Department of Computer Science and Engineering

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

Keywords

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

ASJC Scopus subject areas

Computer Science(all)

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",

note = "Funding Information: This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (2015R1A2A2A01). Publisher Copyright: {\textcopyright} 2018 IEEE.",

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AB - 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.

KW - CRA

KW - code reuse attack

KW - control-flow validation

KW - cybercrime

KW - cybersecurity

KW - hacking

KW - mis-prediction

KW - security

KW - software

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ER -

Detecting Code Reuse Attacks with Branch Prediction

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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