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Keyword

malware obfuscation

Description: Techniques for concealing or altering malicious software’s code and behavior to hinder analysis, detection, or removal.
OpenAlex ID: keywords/malware-obfuscation
Semantics-aware malware detection
2005 · M. Christodorescu, S. Jha, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 730
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Automatic analysis of malware behavior using machine learning
2011 · Konrad Rieck, Philipp Trinius, et al. · Journal of Computer Security · 729
A Comprehensive Review on Malware Detection Approaches
2020 · Omer Aslan, Refik Samet · IEEE Access · 650
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Malware Obfuscation Techniques: A Brief Survey
2010 · Ilsun You, Kangbin Yim · International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA) · 603
IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture
2020 · Danish Vasan, Mamoun Alazab, et al. · Computer Networks · 515
Malware classification with recurrent networks
2015 · Razvan Pascanu, Jack W. Stokes, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 450
DL-Droid: Deep learning based android malware detection using real devices
2019 · Mohammed K. Alzaylaee, Suleiman Y. Yerima, et al. · Computers & Security · 445
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Image-Based malware classification using ensemble of CNN architectures (IMCEC)
2020 · Danish Vasan, Mamoun Alazab, et al. · Computers & Security · 401
DroidChameleon
2013 · Vaibhav Rastogi, Yan Chen, et al. · 340
A Survey of Android Malware Detection with Deep Neural Models
2020 · Junyang Qiu, Jun Zhang, et al. · ACM Computing Surveys · 322
PolyUnpack: Automating the Hidden-Code Extraction of Unpack-Executing Malware
2006 · Paul Royal, Mitch Halpin, et al. · Annual Computer Security Applications Conference · 294
A comprehensive survey on deep learning based malware detection techniques
2022 · Gopinath M., Sibi Chakkaravarthy Sethuraman · Computer Science Review · 278
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
2021 · Jeyaprakash Hemalatha, S. Roseline, et al. · Entropy · 253
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A New Malware Classification Framework Based on Deep Learning Algorithms
2021 · Omer Aslan, Abdullah Asim Yilmaz · IEEE Access · 240
A Survey on Malware Analysis Techniques: Static, Dynamic, Hybrid and Memory Analysis
2018 · Rami Sihwail, Khairuddin Omar, et al. · International Journal on Advanced Science Engineering and Information Technology · 235
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Impeding Malware Analysis Using Conditional Code Obfuscation
2008 · Monirul I. Sharif, Andrea Lanzi, et al. · 231
Obfuscation: The Hidden Malware
2011 · Philip O'Kane, Sakir Sezer, et al. · IEEE Security & Privacy · 221
Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT
2020 · Rahim Taheri, Mohammad Shojafar, et al. · IEEE Transactions on Industrial Informatics · 216
Malware Detection Issues, Challenges, and Future Directions: A Survey
2022 · Faitouri A. Aboaoja, Anazida Zainal, et al. · Applied Sciences · 207
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Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors
2010 · Matt Fredrikson, Somesh Jha, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 201
Catch Me If You Can: Evaluating Android Anti-Malware Against Transformation Attacks
2013 · Vaibhav Rastogi, Yan Chen, et al. · IEEE Transactions on Information Forensics and Security · 185
SoK: Deep Packer Inspection: A Longitudinal Study of the Complexity of Run-Time Packers
2015 · Xabier Ugarte-Pedrero, Davide Balzarotti, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 160
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A Study on Malware and Malware Detection Techniques
2018 · Rabia Tahir · International Journal of Education and Management Engineering · 151
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Hybrids of support vector machine wrapper and filter based framework for malware detection
2014 · Shamsul Huda, Jemal Abawajy, et al. · Future Generation Computer Systems · 131
Combining static and dynamic analysis for the detection of malicious documents
2011 · Zacharias Tzermias, Giorgos Sykiotakis, et al. · 129
Works count: 940
Citation count: 16,240
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