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A Multi-view Context-aware Approach to Android Malware Detection and
  Malicious Code Localization
v1v2 (latest)

A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization

6 April 2017
A. Narayanan
Mahinthan Chandramohan
Lihui Chen
Yang Liu
    AAML
ArXiv (abs)PDFHTML

Papers citing "A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization"

15 / 15 papers shown
Title
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
Merve Cigdem Ipek
Sevil Sen
156
0
0
10 Mar 2025
Detecting Android Malware by Visualizing App Behaviors from Multiple
  Complementary Views
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
Zhaoyi Meng
Jiale Zhang
Jiaqi Guo
Wansen Wang
Wenchao Huang
Jie Cui
Hong Zhong
Yan Xiong
AAML
48
1
0
08 Oct 2024
Leveraging LSTM and GAN for Modern Malware Detection
Leveraging LSTM and GAN for Modern Malware Detection
Ishita Gupta
Sneha Kumari
Priya Jha
Mohona Ghosh
25
7
0
07 May 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
B.K. Casey
Joanna C. S. Santos
George Perry
93
5
0
15 Mar 2024
DexBERT: Effective, Task-Agnostic and Fine-grained Representation
  Learning of Android Bytecode
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
Tiezhu Sun
Kevin Allix
Kisub Kim
Xin Zhou
Dongsun Kim
David Lo
Tegawende F. Bissyande
Jacques Klein
119
13
0
12 Dec 2022
From Malware Samples to Fractal Images: A New Paradigm for
  Classification. (Version 2.0, Previous version paper name: Have you ever seen
  malware?)
From Malware Samples to Fractal Images: A New Paradigm for Classification. (Version 2.0, Previous version paper name: Have you ever seen malware?)
I. Zelinka
Miloslav Szczypka
J. Plucar
Nikolay V. Kuznetsov
16
0
0
05 Dec 2022
Multi-view Representation Learning from Malware to Defend Against
  Adversarial Variants
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
Junjie Hu
Mohammadreza Ebrahimi
Weifeng Li
Xin Li
Hsinchun Chen
AAML
40
2
0
25 Oct 2022
A framework for comprehensible multi-modal detection of cyber threats
A framework for comprehensible multi-modal detection of cyber threats
J. Kohout
Cenek Skarda
Kyrylo Shcherbin
Martin Kopp
J. Brabec
30
1
0
10 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
76
65
0
18 Oct 2021
Advances In Malware Detection- An Overview
Advances In Malware Detection- An Overview
Heena Center of excellence in cybersecurity
39
7
0
05 Apr 2021
Malware Detection and Analysis: Challenges and Research Opportunities
Malware Detection and Analysis: Challenges and Research Opportunities
Zahid Akhtar
AAML
14
12
0
21 Jan 2021
Droidetec: Android Malware Detection and Malicious Code Localization
  through Deep Learning
Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning
Zhuo Ma
Haoran Ge
Zhuzhu Wang
Yang Liu
Ximeng Liu
59
39
0
10 Feb 2020
Mobile App Privacy in Software Engineering Research: A Systematic
  Mapping Study
Mobile App Privacy in Software Engineering Research: A Systematic Mapping Study
Fahimeh Ebrahimi
Miroslav Tushev
Anas Mahmoud
29
33
0
08 Oct 2019
Learning from Context: Exploiting and Interpreting File Path Information
  for Better Malware Detection
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
Adarsh Kyadige
Ethan M. Rudd
Konstantin Berlin
24
7
0
16 May 2019
apk2vec: Semi-supervised multi-view representation learning for
  profiling Android applications
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
A. Narayanan
C. Soh
Lihui Chen
Yang Liu
Lipo Wang
SSL
48
27
0
15 Sep 2018
1