Results 31 to 40 of about 5,547 (215)
Random Forest for Malware Classification
CoRR, 2016 The challenge in engaging malware activities involves the correct identification and classification of different malware variants. Various malwares incorporate code obfuscation methods that alters their code signatures effectively countering antimalware detection techniques utilizing static methods and signature database.
Felan Carlo C. Garcia, Felix P. Muga II
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A deep learning framework for malware classification
, 2020 Copyright © 2020, IGI Global. In this article, the authors propose a deep learning framework for malware classification. There has been a huge increase in the volume of malware in recent years which poses serious security threats to financial ...
Rochan, Mrigank +11 more
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Self-Attentive Models for Real-Time Malware Classification
IEEE Access, 2022 Malware classification is a critical task in cybersecurity, as it offers insights into the threats that malware poses to the victim device and helps in the design of countermeasures.
Qikai Lu +3 more
doaj +1 more source
MSIC: Malware Spectrogram Image Classification [PDF]
IEEE Access, 2020 The heavy reliance on digital technology, by individuals and organizations, has reshaped the traditional economy into a digital economy. In response, cybercriminals' attention has shifted dramatically from showing off skills and conducting individual attacks into high sophisticated attacks with financial gain as the goal.
Ahmad Azab, Mahmoud Khasawneh
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Malware Family Classification via Residual Prefetch Artifacts
, 2022 Automated malware classification assigns unknown malware to known families. Most research in malware classification assumes that the defender has access to the malware for analysis. Unfortunately, malware can delete itself after execution.
Taylor, Teryl +2 more
core +1 more source
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions
Applied Sciences, 2021 Malware family classification is grouping malware samples that have the same or similar characteristics into the same family. It plays a crucial role in understanding notable malicious patterns and recovering from malware infections.
Minki Kim +5 more
doaj +1 more source
Malware Classification Using Transfer Learning
CoRR, 2021 With the rapid growth of the number of devices on the Internet, malware poses a threat not only to the affected devices but also their ability to use said devices to launch attacks on the Internet ecosystem. Rapid malware classification is an important tools to combat that threat.
Hikmat Farhat, Veronica Rammouz
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AFAgarap/malware-classification v0.1-alpha
, 2017 <p>Code implementation of "Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification"</p ...
Abien Fred Agarap
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A Hybrid Approach for Android Malware Detection and Family Classification.
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify.
Meghna Dhalaria, Ekta Gandotra
doaj +1 more source
Not so Crisp, Malware! Fuzzy Classification of Android Malware Classes
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018 Mobile devices have been spreading at great rate in recent years. Not only smartphone, but also tablets and IoT devices, are gaining an increasingly place in our everyday lives. This is the reason why attackers are developing more and more aggressive techniques with the aim to exfiltrate our sensitive and private information.
Mercaldo F., Saracino A.
openaire +4 more sources