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Malware Classification

11 papers with code · Miscellaneous

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Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

24 Dec 2019guelfoweb/peframe

In this paper, we combine static and dynamic analysis features with deep neural networks for Windows malware classification.

MALWARE CLASSIFICATION

A New Burrows Wheeler Transform Markov Distance

30 Dec 2019MaksimEkin/COVID19-Literature-Clustering

Prior work inspired by compression algorithms has described how the Burrows Wheeler Transform can be used to create a distance measure for bioinformatics problems.

MALWARE CLASSIFICATION

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

13 Nov 2015ManSoSec/Microsoft-Malware-Challenge

This paradigm is presented and discussed in the present paper, where emphasis has been given to the phases related to the extraction, and selection of a set of novel features for the effective representation of malware samples.

MALWARE CLASSIFICATION

Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash

Digital Investigation 2018 EdwardRaff/pyLZJD

Recent work has proposed the Lempel-Ziv Jaccard Distance (LZJD) as a method to measure the similarity between binary byte sequences for malware classification.

MALWARE CLASSIFICATION

KiloGrams: Very Large N-Grams for Malware Classification

1 Aug 2019NeuromorphicComputationResearchProgram/KiloGrams

N-grams have been a common tool for information retrieval and machine learning applications for decades.

INFORMATION RETRIEVAL MALWARE CLASSIFICATION

Dynamic data fusion using multi-input models for malware classification

21 Sep 2019viktorZenkov/MalwareClassification

To solve this, we investigated four cases: a text-only model, a hexadecimal-only model, a multi-input model using both text and hexadecimal inputs, and a model based on combining the individual results.

MALWARE CLASSIFICATION

Transfer Learning for Image-Based Malware Classification

21 Jan 2019pratikpv/malware_classification

In this paper, we consider the problem of malware detection and classification based on image analysis.

MALWARE DETECTION TRANSFER LEARNING

Robust Neural Malware Detection Models for Emulation Sequence Learning

28 Jun 2018tychen5/sportslottery

These models target the core of the malicious operation by learning the presence and pattern of co-occurrence of malicious event actions from within these sequences.

MALWARE DETECTION