Results 41 to 50 of about 5,558 (210)
Microsoft Malware Classification Challenge
CoRR, 2018 The Microsoft Malware Classification Challenge was announced in 2015 along with a publication of a huge dataset of nearly 0.5 terabytes, consisting of disassembly and bytecode of more than 20K malware samples. Apart from serving in the Kaggle competition, the dataset has become a standard benchmark for research on modeling malware behaviour.
Royi Ronen +4 more
openaire +2 more sources
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
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
openaire +2 more sources
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
openaire +2 more sources
Towards Classification of Malware on the Basis Their Characteristics and Importance Mining of Features [PDF]
, 2020 There are several websites, applications and resources that a user visits every day. Some of the resources have malicious threats and harmful entities.
Raza, Muhammad Hassan, Dubey, Shubhankar
core
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
openaire +2 more sources
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
MalSSL—Self-Supervised Learning for Accurate and Label-Efficient Malware Classification
IEEE AccessMalware classification with supervised learning requires a large dataset, which needs an expensive and time-consuming labeling process. In this paper, we explore the efficacy of self-supervised learning techniques for malware classification.
Setia Juli Irzal Ismail +4 more
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An Efficient Malware Classification Method Based on the AIFS-IDL and Multi-Feature Fusion
Information, 2022 In recent years, the presence of malware has been growing exponentially, resulting in enormous demand for efficient malware classification methods.
Xuan Wu, Yafei Song
doaj +1 more source