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Eight Years of Rider Measurement in the Android Malware Ecosystem: Evolution and Lessons Learned
24 January 2018
Guillermo Suarez-Tangil
Gianluca Stringhini
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Papers citing
"Eight Years of Rider Measurement in the Android Malware Ecosystem: Evolution and Lessons Learned"
13 / 13 papers shown
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
Shiwen Song
Xiaofei Xie
Ruitao Feng
Qi Guo
Sen Chen
AAML
328
0
0
28 Apr 2025
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
Merve Cigdem Ipek
Sevil Sen
337
3
0
10 Mar 2025
Fakeium: A Dynamic Execution Environment for JavaScript Program Analysis
SoftwareX (SoftwareX), 2024
José Miguel Moreno
Narseo Vallina-Rodriguez
Juan Tapiador
149
0
0
28 Oct 2024
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
Conference on Computer and Communications Security (CCS), 2023
Ping He
Yifan Xia
Xuhong Zhang
R. Beyah
AAML
279
28
0
05 Sep 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
European Symposium on Security and Privacy (Euro S&P), 2023
Giovanni Apruzzese
Pavel Laskov
J. Schneider
385
48
0
30 Apr 2023
A Deep Dive into VirusTotal: Characterizing and Clustering a Massive File Feed
Kevin van Liebergen
Juan Caballero
Platon Kotzias
Chris Gates
290
1
0
28 Oct 2022
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning
Computers & security (Comput. Secur.), 2022
Borja Molina-Coronado
U. Mori
A. Mendiburu
J. Miguel-Alonso
AAML
355
42
0
25 May 2022
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection
IET Information Security (IET Inf. Secur.), 2022
Yafei Wu
Jian Shi
Peicheng Wang
Dongrui Zeng
Cong Sun
185
54
0
30 Jan 2022
A Large-scale Temporal Measurement of Android Malicious Apps: Persistence, Migration, and Lessons Learned
USENIX Security Symposium (USENIX Security), 2021
Yun Shen
Pierre-Antoine Vervier
Gianluca Stringhini
146
9
0
10 Aug 2021
ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices
European Symposium on Security and Privacy (EuroS&P), 2021
Yun Shen
Gianluca Stringhini
274
4
0
09 Mar 2021
Understanding Worldwide Private Information Collection on Android
Network and Distributed System Security Symposium (NDSS), 2021
Yun Shen
Pierre-Antoine Vervier
Gianluca Stringhini
PILM
128
16
0
25 Feb 2021
How Did That Get In My Phone? Unwanted App Distribution on Android Devices
IEEE Symposium on Security and Privacy (IEEE S&P), 2020
Platon Kotzias
Juan Caballero
Leyla Bilge
MedIm
283
37
0
20 Oct 2020
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
The Web Conference (WWW), 2020
Tianming Liu
Haoyu Wang
Li Li
Xiapu Luo
Feng Dong
Yao Guo
Liu Wang
Tegawende F. Bissyande
Jacques Klein
187
44
0
05 Feb 2020
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