ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00464
  4. Cited By
Towards Accurate Labeling of Android Apps for Reliable Malware Detection

Towards Accurate Labeling of Android Apps for Reliable Malware Detection

1 July 2020
Aleieldin Salem
ArXiv (abs)PDFHTML

Papers citing "Towards Accurate Labeling of Android Apps for Reliable Malware Detection"

7 / 7 papers shown
A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem InsightsJournal of Cybersecurity and Privacy (JCP), 2025
Ali Alkinoon
Trung Cuong Dang
Ahod Alghuried
Abdulaziz Alghamdi
Soohyeon Choi
Manar Mohaisen
An Wang
Saeed Salem
David A. Mohaisen
95
8
0
04 Aug 2025
Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports
Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports
Evangelos Froudakis
Athanasios Avgetidis
Sean Tyler Frankum
R. Perdisci
M. Antonakakis
Angelos Keromytis
244
0
0
12 Jun 2025
On Benchmarking Code LLMs for Android Malware Analysis
On Benchmarking Code LLMs for Android Malware Analysis
Yiling He
Hongyu She
Xingzhi Qian
Xinran Zheng
Zhuo Chen
Zhan Qin
Lorenzo Cavallaro
ELM
470
12
0
01 Apr 2025
A Large Scale Study and Classification of VirusTotal Reports on Phishing
  and Malware URLs
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLsProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022
Euijin Choo
Mohamed Nabeel
Ravindu De Silva
Tingyue Yu
Issa M. Khalil
242
29
0
26 May 2022
A Longitudinal Study of Cryptographic API: a Decade of Android Malware
A Longitudinal Study of Cryptographic API: a Decade of Android MalwareInternational Conference on Security and Cryptography (SECRYPT), 2022
Adam Janovsky
Davide Maiorca
Dominik Macko
Vashek Matyás
Giorgio Giacinto
274
3
0
11 May 2022
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box
  Android Malware Detection
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
Hamid Bostani
Veelasha Moonsamy
AAML
504
77
0
07 Oct 2021
Exploring Optimal Deep Learning Models for Image-based Malware Variant
  Classification
Exploring Optimal Deep Learning Models for Image-based Malware Variant ClassificationAnnual International Computer Software and Applications Conference (COMPSAC), 2020
Rikima Mitsuhashi
Takahiro Shinagawa
189
7
0
10 Apr 2020
1
Page 1 of 1