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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

Cybersecurity, malware, and the socio-economic fabric

The digital age, while revolutionary in many respects, has introduced a labyrinth of challenges. Among these challenges, cyber threats such as malware and ransomware loom large. As this thread illuminated, the consequences of such threats extend beyond mere technical vulnerabilities, having profound economic, socio-economic, and operational ramifications.

In a world that is highly interconnected, malware attacks have showcased vulnerabilities inherent in global systems. The healthcare, financial, retail, and manufacturing sectors are all part of this intricate web, with cyberattacks not only causing direct financial losses but also impacting the trust quotient essential to commerce and public life.

Healthcare cyber breaches, for instance, can have life-altering repercussions when critical patient care is interrupted. Financial institutions, the bulwarks of our economic systems, when compromised, can undermine the very trust...

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