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ORCIDHiroki Inayoshi
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2020 – today
- 2024
[c6]Hiroki Inayoshi
, Shohei Kakei, Shoichi Saito:
Detection of Inconsistencies between Guidance Pages and Actual Data Collection of Third-party SDKs in Android Apps. MOBILESoft@ICSE 2024: 43-53- [c5]Hikaru Tomita, Mariko Sasakura, Kinari Nishiura, Hiroki Inayoshi, Akito Monden:
Porting a Python Application to the Web Using Django: A Case Study of an Archaeological Image Processing System. SERA 2024: 199-205 - [c4]Nikolay Fedorov, Haruaki Tamada, Hiroki Inayoshi, Akito Monden:
Comparison of Similarity Functions for n-gram Software Birthmarks. WSSE 2024: 169-176 - 2023
- [j2]Hiroki Inayoshi, Shohei Kakei, Shoichi Saito:
Execution Recording and Reconstruction for Detecting Information Flows in Android Apps. IEEE Access 11: 10730-10750 (2023) - 2022
- [j1]Hiroki Inayoshi, Shohei Kakei, Eiji Takimoto, Koichi Mouri, Shoichi Saito:
Value-utilized taint propagation: toward precise detection of apps' information flows across Android API calls. Int. J. Inf. Sec. 21(5): 1127-1149 (2022) - [c3]Hiroki Inayoshi, Shohei Kakei, Shoichi Saito:
Plug and Analyze: Usable Dynamic Taint Tracker for Android Apps. SCAM 2022: 24-34 - 2021
- [c2]Hiroki Inayoshi, Shohei Kakei, Eiji Takimoto, Koichi Mouri, Shoichi Saito:
VTDroid: Value-based Tracking for Overcoming Anti-Taint-Analysis Techniques in Android Apps. ARES 2021: 29:1-29:6
2010 – 2019
- 2019
- [c1]Hiroki Inayoshi, Shohei Kakei, Eiji Takimoto, Koichi Mouri, Shoichi Saito:
Prevention of Data Leakage due to Implicit Information Flows in Android Applications. AsiaJCIS 2019: 103-110
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