Get started
Keyword

malware evasion

Description: Techniques that help malicious software avoid detection or analysis by antivirus tools and other security defenses.
OpenAlex ID: keywords/malware-evasion
Limits of Static Analysis for Malware Detection
2007 · Andreas Moser, Christopher Kruegel, et al. · 813
Ether
2008 · Artem Dinaburg, Paul Royal, et al. · Proceedings of the ACM Conference on Computer and Communications Security · 660
Stealthy malware detection through vmm-based "out-of-the-box" semantic view reconstruction
2007 · Xuxian Jiang, Xinyuan Wang, et al. · Proceedings of the ACM Conference on Computer and Communications Security · 494
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs
2014 · Mu Zhang, Yue Duan, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 453
CryptoLock (and Drop It): Stopping Ransomware Attacks on User Data
2016 · Nolen Scaife, Henry Carter, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS) · 437
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
2020 · Danish Vasan, Mamoun Alazab, et al. · Computers & Security · 401
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
2019 · Ori Or-Meir, Nir Nissim, et al. · ACM Computing Surveys · 384
PDF
The Evolution of Android Malware and Android Analysis Techniques
2017 · Kimberly Tam, Ali Feizollah, et al. · ACM Computing Surveys · 356
PDF
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
2018 · Bojan Kolosnjaji, Ambra Demontis, et al. · European Signal Processing Conference (EUSIPCO) · 335
PDF
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
2018 · Chen, Xiao, Li, Chaoran, et al. · arXiv (Cornell University) · 328
PDF
Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware
2008 · Xu Chen, Jon Andersen, et al. · 284
Renovo
2007 · Min Gyung Kang, Pongsin Poosankam, et al. · 272
Execute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications
2014 · Sebastian Poeplau, Yanick Fratantonio, et al. · Network and Distributed System Security Symposium · 265
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
2021 · Jeyaprakash Hemalatha, S. Roseline, et al. · Entropy · 252
PDF
Integrated Static and Dynamic Analysis for Malware Detection
2015 · P.V. Shijo, A. Salim · Procedia Computer Science · 248
PDF
HinDroid
2017 · Shifu Hou, Yanfang Ye, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 244
Unsupervised Anomaly-Based Malware Detection Using Hardware Features
2014 · Adrian Tang, Simha Sethumadhavan, et al. · Lecture notes in computer science · 232
A Novel Dynamic Android Malware Detection System With Ensemble Learning
2018 · Pengbin Feng, Jianfeng Ma, et al. · IEEE Access · 223
Impeding Malware Analysis Using Conditional Code Obfuscation
2008 · Monirul I. Sharif, Andrea Lanzi, et al. · 218
A Survey on malware analysis and mitigation techniques
2019 · S. Sibi Chakkaravarthy, D. Sangeetha, et al. · Computer Science Review · 213
Malware: Fighting Malicious Code
2003 · Ed Skoudis, Lenny Zeltser · CERN Document Server (European Organization for Nuclear Research) · 213
Malware Detection Issues, Challenges, and Future Directions: A Survey
2022 · Faitouri A. Aboaoja, Anazida Zainal, et al. · Applied Sciences · 206
PDF
PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
2009 · M. Zubair Shafiq, S. Momina Tabish, et al. · Lecture notes in computer science · 195
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
2018 · Ishai Rosenberg, Asaf Shabtai, et al. · Lecture notes in computer science · 194
PDF
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
2018 · Abdullah Al-Dujaili, Alex Huang, et al. · IEEE Security and Privacy Workshops (SPW) · 185
PDF
Works count: 1,828
Citation count: 25,320
Year
Topic
Type