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Key benefits

Get introduced to three primary AI tactics used in malware and detection

Leverage data science tools to combat critical cyber threats

Understand regulatory requirements for using AI in cyber threat management

Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is for cybersecurity experts keen on adopting data-driven defense methods. Data scientists will learn how to apply their skill set to address critical security issues, and compliance officers navigating global regulations like GDPR and CCPA will gain indispensable insights. Academic researchers exploring the intersection of data science and cybersecurity, IT decision-makers overseeing organizational strategy, and tech enthusiasts eager to understand modern cybersecurity will also find plenty of useful information in this guide. A basic understanding of cybersecurity and information technology is a prerequisite.

What you will learn

Understand the science behind malware data and its management lifecycle

Explore anomaly detection with signature and heuristics-based methods

Analyze data to uncover relationships between data points and create a network graph

Discover methods for reverse engineering and analyzing malware

Use ML, advanced analytics, and data mining in malware data analysis and detection

Explore practical insights and the future state of AI's use for malware data science

Understand how NLP AI employs algorithms to analyze text for malware detection

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$33.99

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Total $ 143.97

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Shipping Details

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Michael Beran Jan 09, 2024

I have been in the international Data Privacy industry for almost 10 years now and have read plenty of books related to data privacy, compliance, and security. Shane's book blew them all out of the water. It is a must read for all Data Privacy and Security Professionals.

Amazon Verified review

Jordan Alexander VanHoy Jan 09, 2024

I had the opportunity to work with Shane from 2019 - 2021. Shane is an incredible human being who is hard working, selfless, and devoted to his craft. One of the most inspiring aspects of working with him was his desire to teach and mentor others. When this book came out, I felt compelled to find the book and dive in. Sure enough, Shane's technical prowess is on display throughout the book. He is able to articulate complex topics such as artificial intelligence integration for detection techniques in a way that is easy to understand for anyone who picks this book up. I also very much appreciated aspects of this book that shed light on fundamental aspects of what organizations should be doing such as benchmarking maturity. Finally, the analysis and insight to where bleeding edge topics like blockchain, privacy, and RegTech were impactful."As blockchain adoption continues to grow, exploring innovative ways to integrate blockchain baseddigital identity into compliance operations will be a key consideration for forward-lookingbusinesses seeking to enhance their regulatory practices in the digital age." - Shane MolinariShane shares many perspectives on the future analysis of these technologies and how they may benefit us. Ultimately, if you are looking for a cutting edge book from an industry expert, this is as good as it gets.

Nick S. Feb 06, 2024

Malware Science: A comprehensive guide to detection, analysis, and compliance is a great book for those wanting to learn about Malware. It starts out with a Security+ level description of some common terms and concepts to ensure that the reader has a baseline of knowledge to ensure they can grasp the advanced topics moving forward. This can also be a brief refresher to those in the field that may not work in this area commonly. The next section covers some brief history that can put into perspective how damaging these attacks can be, both from a trust or monetary perspective. While this topic is brief, I still believe this can be a valuable insight into how this can impact organizations. After the history aspect, there are 79 pages of high level and in depth talk about malware. This is where I personally learned a lot. Binary data, cluster loops, flow structures, homology, mathematics, noise, and many more terms that connect the dots within the world of malware. There were several pages dedicated to birth time and death time with a few diagrams. While the book is not meant to be a in depth instruction to create malware or make defensive countermeasures against malware, there were some diagrams and example code to help you understand everything visually. There are many areas where benefits, considerations, and other factors are discussed. Like always, there are tradeoffs for everything and there should be defense in depth to ensure all around security. Generative AI and Machine learning are discussed too! This is another hot topic in many cybersecurity and IT spaces. These two technologies are discussed on how they can be utilized on how they can deter malware. Considerations are also discussed in relation to enterprise security and the CMMI levels. The last section is all about the future. While it is hard to predict the future, I feel that these points are valid and can be a real possibility. With the explosive growth of generative AI and machine learning, the advancement in these areas can truly impact malware. Malware countermeasures could be deployed automatically, there can be better defensive capabilities in cloud environments, and better abilities to train defensive systems to detect the ever-evolving forms of malware.I think that this book will greatly prepare you to know everything about malware from a functional perspective that will best inform senior leadership, project managers, consultants, and cybersecurity aspirants. As bonus value, if you buy the physical book, you can redeem the ebook for free with an included code. I am personally going to keep this as a quick reference guide in any manners related to malware.

Dany Cohen Feb 01, 2024

Dont buy it, nothing interesting

Data Science for Malware Analysis: A comprehensive guide to using AI in detection, analysis, and compliance

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