Artificial Intelligence And Security In Computing Systems

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Artificial Intelligence and Security in Computing Systems

Jerzy Soldek,Leszek Drobiazgiewicz
Artificial Intelligence and Security in Computing Systems Book PDF

Author : Jerzy Soldek,Leszek Drobiazgiewicz
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 52,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781441992260

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Artificial Intelligence and Security in Computing Systems by Jerzy Soldek,Leszek Drobiazgiewicz Pdf

Artificial Intelligence and Security in Computing Systems is a peer-reviewed conference volume focusing on three areas of practice and research progress in information technologies: -Methods of Artificial Intelligence presents methods and algorithms which are the basis for applications of artificial intelligence environments. -Multiagent Systems include laboratory research on multiagent intelligent systems as well as upon their applications in transportation and information systems. -Computer Security and Safety presents techniques and algorithms which will be of great interest to practitioners. In general, they focus on new cryptographic algorithms (including a symmetric key encryption scheme, hash functions, secret generation and sharing schemes, and secure data storage), a formal language for policy access control description and its implementation, and risk management methods (used for continuous analysis both in distributed network and software development projects).

Intelligent Security Systems

Leon Reznik
Intelligent Security Systems Book PDF

Author : Leon Reznik
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 42,6 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9781119771562

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Intelligent Security Systems by Leon Reznik Pdf

INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems

Jerzy Pejas,Andrzej Piegat
Enhanced Methods in Computer Security Biometric and Artificial Intelligence Systems Book PDF

Author : Jerzy Pejas,Andrzej Piegat
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 42,7 Mb
Release : 2006-07-18
Category : Computers
ISBN : 9780387234847

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Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems by Jerzy Pejas,Andrzej Piegat Pdf

Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems contains over 30 contributions from leading European researchers showing the present state and future directions of computer science research. "Methods of Artificial Intelligence and Intelligent Agents" contains 13 contributions analyzing such areas of AI as fuzzy set theory, predicate logic, neural networks, clustering, data mining and others. It also presents applications of AI as possible solutions for problems like firm bankruptcy, soil erosion, flight control and others. "Information Technology Security" covers three important areas of security engineering in information systems: software security, public key infrastructure and the design of new cryptographic protocols and algorithms. "Biometric Systems" comprises 11 contributions dealing with face picture analysis and recognition systems. This chapter focuses on known methods of biometric problem solution as well as the design of new models.

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Luhach, Ashish Kumar,Elçi, Atilla
Artificial Intelligence Paradigms for Smart Cyber Physical Systems Book PDF

Author : Luhach, Ashish Kumar,Elçi, Atilla
Publisher : IGI Global
Page : 392 pages
File Size : 48,9 Mb
Release : 2020-11-13
Category : Computers
ISBN : 9781799851028

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Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by Luhach, Ashish Kumar,Elçi, Atilla Pdf

Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Machine Learning for Computer and Cyber Security

Brij B. Gupta,Quan Z. Sheng
Machine Learning for Computer and Cyber Security Book PDF

Author : Brij B. Gupta,Quan Z. Sheng
Publisher : CRC Press
Page : 352 pages
File Size : 41,7 Mb
Release : 2019-02-05
Category : Computers
ISBN : 9780429995729

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Machine Learning for Computer and Cyber Security by Brij B. Gupta,Quan Z. Sheng Pdf

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

Cyber Security for Next-Generation Computing Technologies

Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Zakaria Abou El Houda,Muhammad Fazal Ijaz
Cyber Security for Next Generation Computing Technologies Book PDF

Author : Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Zakaria Abou El Houda,Muhammad Fazal Ijaz
Publisher : CRC Press
Page : 328 pages
File Size : 51,5 Mb
Release : 2024-01-16
Category : Computers
ISBN : 9781003826408

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Cyber Security for Next-Generation Computing Technologies by Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Zakaria Abou El Houda,Muhammad Fazal Ijaz Pdf

This book sheds light on the cyber security challenges associated with nextgeneration computing technologies, emphasizing the serious threats posed to individuals, businesses, and nations. With everything becoming increasingly interconnected via the Internet, data security becomes paramount. As technology advances, people need to secure their data communication processes. Personal data security, including data integrity and confidentiality, is particularly vulnerable. Therefore, the concept of cyber security forensics emerges to ensure data security for everyone, addressing issues such as data control, hijacking, and threats to personal devices such as mobile phones, laptops, and other smart technologies. This book covers key topics related to cyber security in next-generation computing technologies, ultimately enhancing the quality of life for citizens, facilitating interaction with smart governments, and promoting secure communication processes. KEY FEATURES Highlights innovative principles and practices using next generation computing technologies based cybersecurity Presents an introduction to recent trends regarding the convergence of AI/ML in cybersecurity Offers an overview of theoretical, practical, simulation concepts of cybersecurity

Machine Learning and Security

Clarence Chio,David Freeman
Machine Learning and Security Book PDF

Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 385 pages
File Size : 43,9 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979877

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Machine Learning and Security by Clarence Chio,David Freeman Pdf

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Guide to Vulnerability Analysis for Computer Networks and Systems

Simon Parkinson,Andrew Crampton,Richard Hill
Guide to Vulnerability Analysis for Computer Networks and Systems Book PDF

Author : Simon Parkinson,Andrew Crampton,Richard Hill
Publisher : Springer
Page : 384 pages
File Size : 52,7 Mb
Release : 2018-09-04
Category : Computers
ISBN : 9783319926247

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Guide to Vulnerability Analysis for Computer Networks and Systems by Simon Parkinson,Andrew Crampton,Richard Hill Pdf

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms. Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process. In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.

Machine Learning Techniques and Analytics for Cloud Security

Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal
Machine Learning Techniques and Analytics for Cloud Security Book PDF

Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 44,8 Mb
Release : 2021-12-21
Category : Computers
ISBN : 9781119762256

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Machine Learning Techniques and Analytics for Cloud Security by Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal Pdf

MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.

Artificial Intelligence for Cloud and Edge Computing

Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg
Artificial Intelligence for Cloud and Edge Computing Book PDF

Author : Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg
Publisher : Springer Nature
Page : 358 pages
File Size : 45,5 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9783030808211

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Artificial Intelligence for Cloud and Edge Computing by Sanjay Misra,Amit Kumar Tyagi,Vincenzo Piuri,Lalit Garg Pdf

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Research Anthology on Artificial Intelligence Applications in Security

Management Association, Information Resources
Research Anthology on Artificial Intelligence Applications in Security Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2253 pages
File Size : 46,9 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9781799877486

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Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Security of Cyber-Physical Systems

Hadis Karimipour,Pirathayini Srikantha,Hany Farag,Jin Wei-Kocsis
Security of Cyber Physical Systems Book PDF

Author : Hadis Karimipour,Pirathayini Srikantha,Hany Farag,Jin Wei-Kocsis
Publisher : Springer Nature
Page : 328 pages
File Size : 45,7 Mb
Release : 2020-07-23
Category : Computers
ISBN : 9783030455415

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Security of Cyber-Physical Systems by Hadis Karimipour,Pirathayini Srikantha,Hany Farag,Jin Wei-Kocsis Pdf

This book presents a comprehensive overview of security issues in Cyber Physical Systems (CPSs), by analyzing the issues and vulnerabilities in CPSs and examining state of the art security measures. Furthermore, this book proposes various defense strategies including intelligent attack and anomaly detection algorithms. Today’s technology is continually evolving towards interconnectivity among devices. This interconnectivity phenomenon is often referred to as Internet of Things (IoT). IoT technology is used to enhance the performance of systems in many applications. This integration of physical and cyber components within a system is associated with many benefits; these systems are often referred to as Cyber Physical Systems (CPSs). The CPSs and IoT technologies are used in many industries critical to our daily lives. CPSs have the potential to reduce costs, enhance mobility and independence of patients, and reach the body using minimally invasive techniques. Although this interconnectivity of devices can pave the road for immense advancement in technology and automation, the integration of network components into any system increases its vulnerability to cyber threats. Using internet networks to connect devices together creates access points for adversaries. Considering the critical applications of some of these devices, adversaries have the potential of exploiting sensitive data and interrupting the functionality of critical infrastructure. Practitioners working in system security, cyber security & security and privacy will find this book valuable as a reference. Researchers and scientists concentrating on computer systems, large-scale complex systems, and artificial intelligence will also find this book useful as a reference.

Artificial Intelligence and Data Mining Approaches in Security Frameworks

Neeraj Bhargava,Ritu Bhargava,Pramod Singh Rathore,Rashmi Agrawal
Artificial Intelligence and Data Mining Approaches in Security Frameworks Book PDF

Author : Neeraj Bhargava,Ritu Bhargava,Pramod Singh Rathore,Rashmi Agrawal
Publisher : John Wiley & Sons
Page : 322 pages
File Size : 54,5 Mb
Release : 2021-08-24
Category : Technology & Engineering
ISBN : 9781119760405

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Artificial Intelligence and Data Mining Approaches in Security Frameworks by Neeraj Bhargava,Ritu Bhargava,Pramod Singh Rathore,Rashmi Agrawal Pdf

ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole

Advances in Computing Systems and Applications

Oualid Demigha,Badis Djamaa,Abdenour Amamra
Advances in Computing Systems and Applications Book PDF

Author : Oualid Demigha,Badis Djamaa,Abdenour Amamra
Publisher : Springer
Page : 334 pages
File Size : 53,5 Mb
Release : 2018-08-09
Category : Technology & Engineering
ISBN : 9783319983523

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Advances in Computing Systems and Applications by Oualid Demigha,Badis Djamaa,Abdenour Amamra Pdf

This book gathers selected papers presented at the 3rd Conference on Computing Systems and Applications (CSA’2018), held at the Ecole Militaire Polytechnique, Algiers, Algeria on April 24–25, 2018. The CSA’2018 constitutes a leading forum for exchanging, discussing and leveraging modern computer systems technology in such varied fields as: data science, computer networks and security, information systems and software engineering, and computer vision. The contributions presented here will help promote and advance the adoption of computer science technologies in industrial, entertainment, social, and everyday applications. Though primarily intended for students, researchers, engineers and practitioners working in the field, it will also benefit a wider audience interested in the latest developments in the computer sciences.

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Machine Learning Blockchain and Cyber Security in Smart Environments Book PDF

Author : Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Publisher : CRC Press
Page : 313 pages
File Size : 47,7 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000623918

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Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar,Sumit Badotra,Ajay Rana Pdf

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.