(UPI) Chapter 19: AI in Cybersecurity Course (How To)

19.2 Related Work

In this section, we present published research on deep neural networks and malware detection.

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  19.2.1 Deep Neural Network

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  19.2.2 Malware Detection

• Quiz 19.2

  5 questions

19.3 Proposed Method

Section 19.3 presents a proposed method for malware detection, which integrates both static and dynamic analysis by extracting features from PE files, processing API call sequences with RNNs, transforming combined data into images, and classifying them using CNNs

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  19.3.1 Overview

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  19.3.2 Static Features

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  19.3.4 Feature Selection and Imaging

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  19.3.5 Deep Neural Networks

• Quiz 19.3

  5 questions

19.4 Experiment

Section 19.4 presents the experiment and evaluation of the proposed malware detection model, detailing the dataset collection from sources like VirusShare and Maltrieve, the use of Cuckoo sandbox for extracting API call sequences, and the 3-fold cross-validation method applied to assess the model’s performance​.

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  19.4.1 Dataset

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  19.4.2 Evaluation Method

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  19.4.3 Result

• Quiz 19.4

  5 questions