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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

Key downstream impacts on key industries globally

Downstream impacts refer to indirect or secondary consequences that occur as a result of an initial action or event. In the context of cyber threats such as malware and ransomware, these downstream impacts can be varied and widespread, affecting not only the targeted organizations but also various stakeholders and interconnected systems. Here are some of the key downstream impacts:

  • Supply chain disruptions: Cyberattacks can disrupt supply chains, affecting not only the targeted business but also its suppliers and customers. For example, if a manufacturing company is hit by a ransomware attack that halts production, its suppliers could be left with unsold stock, and its customers may face shortages or delays. These disruptions can ripple through the economy, impacting various sectors and regions.
  • Job losses: As discussed earlier, cyberattacks can lead to financial losses and business shutdowns, potentially resulting in job...

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