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Cybersecurity
This book is the first of its kind to introduce the integration of ethics, laws, risks, and policies in cyberspace. The book provides understanding of the ethical and legal aspects of cyberspace along with the risks involved. It also addresses current and proposed cyber policies, serving as a summary of the state of the art cyber laws in the United States. It also, importantly, incorporates various risk management and security strategies from a number of organizations. Using easy-to-understand language and incorporating case studies, the authors begin with the consideration of ethics and law in cybersecurity and then go on to take into account risks and security policies. The section on risk covers identification, analysis, assessment, management, and remediation. The very important topic of cyber insurance is covered as well—its benefits, types, coverage, etc. The section on cybersecurity policy acquaints readers with the role of policies in cybersecurity and how they are being implemented by means of frameworks. The authors provide a policy overview followed by discussions of several popular cybersecurity frameworks, such as NIST, COBIT, PCI/DSS, ISO series, etc.
Neutrosophic approach for enhancing quality of signals
Information in a signal is often followed by undesirable disturbance which is termed as noise. Preventing noise in the signal leads to signal integrity, which also leads to better signal quality. The previous related works have the major issues while reducing noise in signals regarding assumptions, frequency and time domain, etc. This paper proposes a new Neutrosophic approach to reduce noises and errors in signal transmission.
Artificial Intelligence and Cybersecurity
Artificial intelligence and cybersecurity are two emerging fields that have made phenomenal contributions toward technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book incorporates recent developments that artificial intelligence brings to the cybersecurity world. Artificial Intelligence and Cybersecurity: Advances and Innovations provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems. This edited book provides a premier interdisciplinary platform for researchers, practitioners and educators. It presents and discusses the most recent innovations, trends and concerns as well as practical challenges and solutions adopted in the fields of artificial intelligence and cybersecurity.
Deep Learning for Healthcare Decision Making
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful applicati...
Mobile Internet Security
This book constitutes the refereed proceedings of the 5th International Symposium on Mobile Internet Security, MobiSec 2021, held in Jeju Island, Republic of Korea, in October 2021. The 28 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in the topical sections: IoT and cyber security; blockchain security; digital forensic and malware analysis; 5G virtual Infrastructure, cryptography and network security.
5G and Beyond
This open-access book aims to highlight the coming surge of 5G network-based applications and predicts that the centralized networks and their current capacity will be incapable of meeting the demands. The book emphasizes the benefits and challenges associated with the integration of 5G networks with varied applications. Further, the book gathers and investigates the most recent 5G-based research solutions that handle security and privacy threats while considering resource-constrained wireless devices. The information, applications, and recent advances discussed in this book will serve to be of immense help to practitioners, database professionals, and researchers.
Proceedings of Second International Conference on Intelligent System
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Security Designs for the Cloud, IoT, and Social Networking
Security concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media.
Water-Soil-Plant-Animal Nexus in the Era of Climate Change
Water, soil, plants, and animals are the main pillars that support global food security. Plants grow using nutrients from water and soil resources and then used by animals which affects them consequently. Water is the essential condition of life for all living beings, and soil is its support and a crucial reservoir. The interactions between the Water-Soil-Plant-Animal nexus and climate change are of increasing concern to scholars, decision-makers, and researchers. The impacts of climate change on these resources include water and soil quality degradation, infectious disease, shortage, desertification, and erosion. These impacts are accelerated due to human pressure through over-use and pollu...
Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets
The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions. The purpose of this manuscript is to point out the limitations of the existing intuitionistic fuzzy Einstein averaging and geometric operators and to develop some improved Einstein aggregation operators.
