Torrent details for "Fables no. 160 by Bill Willingham and more CBR" Log in to bookmark
Controls:
Language:
EnglishTotal Size:
121.11 MB
Info Hash:
7d800f19cdc3cbc4bd259867c9015205d545c392
Added By:
Added:
29-12-2023 13:51
Views:
194
Health:
Seeds:
24
Leechers:
3
Completed:
134
xx
Fables no. 160 by Bill Willingham and more CBR
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
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.
xx
Fables no. 160 by Bill Willingham and more CBR
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
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.
xx