Proposed Model for Malware Classification

Source publication

Graph Theory & Support Vector Machine based Mathematical Method for Malware Detection: A Ubiquitous Computimg Based Approach

Article

Full-text available

Dec 2015

SoK: Cryptojacking Malware

Conference Paper

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Sep 2021

Image-Based Unknown Malware Classification with Few-Shot Learning Models

Conference Paper

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Nov 2019

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Conference Paper

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Oct 2020

Examining the Modes Malware Suppliers Use to Provide Goods and Services

Article

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Feb 2016

Figure 1. Function Call Relationships.

Malware Sample Details.

Malware Sample Versions.

Malware Linker Dates.

Function Counts and Manual Match Count.

Function Similarity Using Family Context

Article

Full-text available

Jul 2020

Finding changed and similar functions between a pair of binaries is an important problem in malware attribution and for the identification of new malware capabilities. This paper presents a new technique called Function Similarity using Family Context (FSFC) for this problem. FSFC trains a Support Vector Machine (SVM) model using pairs of similar f...

Effective Feature Selection for Classification of Malware Families

Article

Feb 2021