A Review of Researching on Dynamic Taint Analysis Technique

DOI

10.2991/jimec-18.2018.25How to use a DOI?

Keywords

taint analysis; vulnerability detection; information flow tracking; taint propagation

Abstract

Taint analysis technique is the key technique means for analyzing the robustness of programs and vulnerability mining. By marking the data which are sensitive or untrusted, one can observe the flow of these tainted data during program execution, then determine whether the marked data affects the key nodes of the program. According to the implementation mechanism, the taint analysis can be divided into static taint analysis and dynamic taint analysis. As an auxiliary technique, it can be combined with mainstream vulnerability mining techniques such as fuzzing test and symbol execution, playing a great role in test case construction and path feasibility analysis. This article firstly introduces the basic concepts of dynamic taint analysis technique. Second, it focuses on the process of dynamic taint marking, propagation and detection. Then it summarizes the main defects in taint analysis and the application status of dynamic taint analysis technique. Finally, it is compared with the current mainstream taint analysis tools and explores the future trends of taint analysis technique.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Peiwu Dai
AU  - Zulie Pan
AU  - Yang Li
PY  - 2018/12
DA  - 2018/12
TI  - A Review of Researching on Dynamic Taint Analysis Technique
BT  - Proceedings of the 2018 3rd Joint International Information Technology，Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 118
EP  - 123
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.25
DO  - 10.2991/jimec-18.2018.25
ID  - Dai2018/12
ER  -