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Data Science for Malware Analysis

Data Science for Malware Analysis

By : Shane Molinari
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Data Science for Malware Analysis

Data Science for Malware Analysis

4 (4)
By: Shane Molinari

Overview of this book

In today's world full of online threats, the complexity of harmful software presents a significant challenge for detection and analysis. This insightful guide will teach you how to apply the principles of data science to online security, acting as both an educational resource and a practical manual for everyday use. Data Science for Malware Analysis starts by explaining the nuances of malware, from its lifecycle to its technological aspects before introducing you to the capabilities of data science in malware detection by leveraging machine learning, statistical analytics, and social network analysis. As you progress through the chapters, you’ll explore the analytical methods of reverse engineering, machine language, dynamic scrutiny, and behavioral assessments of malicious software. You’ll also develop an understanding of the evolving cybersecurity compliance landscape with regulations such as GDPR and CCPA, and gain insights into the global efforts in curbing cyber threats. By the end of this book, you’ll have a firm grasp on the modern malware lifecycle and how you can employ data science within cybersecurity to ward off new and evolving threats.
Table of Contents (14 chapters)
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1
Part 1– Introduction
Free Chapter
2
Chapter 1: Malware Science Life Cycle Overview
4
Part 2 – The Current State of Key Malware Science AI Technologies
8
Part 3 – The Future State of AI’s Use for Malware Science
11
Chapter 8: Epilogue – A Harmonious Overture to the Future of Malware Science and Cybersecurity

The mathematics of space and continuous transformations

Topology is a fascinating and broad field of mathematics, and its concepts can seem abstract if you’re not familiar with them. To illustrate topology, one often-used example is the Rubber-Sheet Geometry analogy.

Let’s imagine three shapes: a coffee mug, a donut (torus), and a soccer ball. In the eyes of a topologist, the coffee mug and the donut are equivalent because they each have one hole. In contrast, the soccer ball is different as it has no hole. The essence of topology is not about exact measurements such as length, angle, or area, but about the properties that remain unchanged under stretching, bending, or twisting – what topologists refer to as “continuous transformations.”

If you consider that the coffee mug is made of a flexible material such as rubber, you could imagine deforming it into a donut shape without tearing or gluing it. The handle of the mug represents the hole in...

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