Results 31 to 40 of about 1,811,594 (209)
Applied Sciences, 2020 Malware detection and classification methods are being actively developed to protect personal information from hackers. Global images of malware (in a program that includes personal information) can be utilized to detect or classify it.
Sejun Jang, Shuyu Li, Yunsick Sung
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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
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Malware Classification using Km-SVM [PDF]
, 2020 Malware identification and classification is a problem faced even in this decade. This is majorly due to the fact that advance malware are more sophisticated in nature and have state of the art abilities to remain hidden or change their code/behaviour ...
Ghorpade, Ashish
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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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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
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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 detection and classification using low-level features [PDF]
, 2023 Nowadays, computers and computer systems are involved in most areas of our lives. Employees and users of manufacturing and transportation, banking and healthcare, education, and entertainment rely on computers and networks which allow for better, faster,
Banin, Sergii
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Design of an Automated Malware Analysis System [PDF]
, 2010 Malware, malicious software written for the purpose of causing computer-related damage, has existed for many years. Only recently have the monetary advantages of perpetrating malware begun to gain interest from increasingly malicious groups.
Nabholz, Bradley J
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A Data Mining Classification Approach for Behavioral Malware Detection
Journal of Computer Networks and Communications, 2016 Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior.
Monire Norouzi +2 more
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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
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