VTDroid: Value-based Tracking for Overcoming Anti-Taint-Analysis Techniques in Android Apps-Reference-Cited by-同舟云学术

VTDroid: Value-based Tracking for Overcoming Anti-Taint-Analysis Techniques in Android Apps

Published:2021-08-17 Issue: Volume: Page:
ISSN:
Container-title:The 16th International Conference on Availability, Reliability and Security
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Author:

Inayoshi Hiroki¹,Kakei Shohei¹,Takimoto Eiji²,Mouri Koichi³,Saito Shoichi¹

Affiliation:

1. Nagoya Institute of Technology, Japan

2. Hiroshima Institute of Technology, Japan

3. Ritsumeikan University, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3465481.3465759

Reference15 articles.

1. Golam Sarwar (Babil) Olivier Mehani Roksana Boreli and Mohamed-Ali Kaafar. 2018. AntiTaintDroid (a.k.a. ScrubDroid). Retrieved October 3 2020 from https://github.com/gsbabil/AntiTaintDroid. Golam Sarwar (Babil) Olivier Mehani Roksana Boreli and Mohamed-Ali Kaafar. 2018. AntiTaintDroid (a.k.a. ScrubDroid). Retrieved October 3 2020 from https://github.com/gsbabil/AntiTaintDroid.

2. Lorenzo Cavallaro Prateek Saxena and R. Sekar. 2007. Anti-Taint-Analysis: Practical Evasion Techniques Against Information Flow Based Malware Defense. Technical Report. Stony Brook University. Lorenzo Cavallaro Prateek Saxena and R. Sekar. 2007. Anti-Taint-Analysis: Practical Evasion Techniques Against Information Flow Based Malware Defense. Technical Report. Stony Brook University.

3. Dytan

4. Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis

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1. Execution Recording and Reconstruction for Detecting Information Flows in Android Apps;IEEE Access;2023

2. Plug and Analyze: Usable Dynamic Taint Tracker for Android Apps;2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM);2022-10

3. Value-utilized taint propagation: toward precise detection of apps’ information flows across Android API calls;International Journal of Information Security;2022-08-06