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Unlock the secrets of malware data science with cutting-edge techniques, AI-driven analysis, and international compliance standards to stay ahead of the ever-evolving cyber threat landscape Key Features 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 Book 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. Malware Science 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. 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 Who this book is 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.

Malware (Computer software) --- Computer security. --- Computer viruses. --- Debugging in computer science.

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Microorganisms, viruses and computer programmes encode all the information they need to reproduce and spread themselves. The mechanisms in the living world, in viruses and even in the world of technical systems are amazingly similar. The book shows how great the parallels of these replication systems are and what they are based on. The excursus also leads into the fascinating world of genetics, to the question of what constitutes life, and to software that replicates itself independently. Content: · What is life? · Basic concepts of molecular genetics · Viruses and early genetics · Algorithms and self-replicating computer programs · What is information? · Coding of information in technology and biology · Coevolution of life and technology The author Rafael Ball holds a PHD in biology, is a historian of science and a librarian. He is director of the ETH Library Zurich and lecturer in library science and management. He works on questions of information theory, scholarly communication and the effects of digitisation He is the author of numerous relevant publications, editor of information science journals and speaker at meetings and conferences.

Computers and civilization. --- Biomedical engineering. --- Computers. --- Computers and Society. --- Biomedical Engineering and Bioengineering. --- Computing Milieux. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Civilization and computers --- Civilization --- COVID-19 Pandemic, 2020 --- -Computer viruses. --- Microorganisms --- Virus diseases --- Behavior. --- Transmission. --- Software viruses --- Viruses, Computer --- Computer crimes --- Malware (Computer software) --- Epidemics