Advances in Cyber Security and Intelligent Analytics
by Abhishek Verma
English | 2022 | ISBN: 103221600X | 310 pages | True PDF | 14.77 MB
We live in a digital world, where we use digital tools and smart devices to communicate over the Internet. In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data. Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers. Therefore, we need modern systems capable of handling and managing data efficiently. In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms. Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second. However, the distributed computing paradigms face critical challenges, including network management and cyber security. We have witnessed the development of various networking models―IoT, SDN, and ICN―to support modern systems requirements. However, they are undergoing rapid changes and need special attention. The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges. Therefore, there is a significant need to develop improved network management and cyber security solutions. To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.

Cyber Security: A Starter Guide to Cyber Security for Beginners, Discover the Best Strategies for Defense Your Devices, Including Risk Management, Social Engineering, and Information Security. by Kevin Kali
English | 2019 | ISBN: 1914058119 | 134 pages | EPUB | 0.92 Mb
Do you want to protect yourself from Cyber Security attacks? Do you want to discover the best strategies for defense your devices and your network?

English | 2022 | ISBN: 1032148349 | 284 pages | True PDF | 20.26 MB
Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science.

English | 2023 | ISBN: 1032079479 | 200 pages | True EPUB | 28.1 MB
This book seamlessly connects the topics of Industry 4.0 and cyber security. It discusses the risks and solutions of using cyber security techniques for Industry 4.0.

English | 2022 | ISBN: 111985721X | 437 pages | True EPUB | 10.43 MB
CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.

Published 11/2022
Created by IT Security Online Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 170 Lectures ( 14h 57m ) | Size: 5.47 GB

English | 2022 | ISBN: 1119582318 | 272 pages | True PDF EPUB | 17.15 MB
CYBER INVESTIGATIONS
A classroom tested introduction to cyber investigations with real-life examples included

English | 2022 | ISBN: 978-1668434499 | 265 pages | True PDF EPUB | 27.91 MB
Data is the most important commodity, which is why data protection has become a global priority. Data breaches and security flaws can jeopardize the global economy. Organizations face a greater risk of failing to achieve strategy and business goals as cyber threat behavior grows in frequency, sophistication, and destructiveness. A breach can result in data loss, business interruption, brand and reputation harm, as well as regulatory and legal consequences. A company needs a well-thought-out cybersecurity strategy to secure its critical infrastructure and information systems in order to overcome these challenges. Cross-Industry Applications of Cyber Security Frameworks provides an understanding of the specific, standards-based security controls that make up a best practice cybersecurity program. It is equipped with cross-industry applications of cybersecurity frameworks, best practices for common practices, and suggestions that may be highly relevant or appropriate in every case. Covering topics such as legal frameworks, cybersecurity in FinTech, and open banking, this premier reference source is an essential resource for executives, business leaders, managers, entrepreneurs, IT professionals, government officials, hospital administrators, educational administrators, privacy specialists, researchers, and academicians.
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English | 2022 | ISBN: 111985721X, 978-1119857211 | 472 pages | True PDF | 50.51 MB
CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years.
The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems.

English | 2022 | ISBN: 1803246480 | 232 pages | True PDF EPUB | 6.42 MB
Learn how to build a proactive cybersecurity culture together with the rest of your C-suite to effectively manage cyber risks
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