Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner. In this edited book, the authors present challenges, technologies, applications and future trends of AI-enabled IoT (AIoT) in realizing smart and intelligent environments, including frameworks and methodologies to apply AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques and practical implementations to enhance future smart environment systems as. They plan to cover a broad range of applications including smart cities, smart transportation and smart agriculture. This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.

Cognitive networks can be crucial for the evolution of future communication systems; however, current trends have indicated major movement in other relevant fields towards the integration of different techniques for the realization of self-aware and self-adaptive communication systems. Evolution of Cognitive Networks and Self-Adaptive Communication Systems overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organizing networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends resulting in a unified realization for cognitive networking and communication systems.

Cyber attacks are rapidly becoming one of the most prevalent issues in the world. As cyber crime continues to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. Threat Detection and Countermeasures in Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts, and technology specialists interested in the simulation and application of computer network protection.

Computer networks have become essential to the survival of businesses, organizations, and educational institutions, as the number of network users, services, and applications has increased alongside advancements in information technology. Given this, efforts have been put forward by researchers, designers, managers, analysts, and professionals to optimize network performance and satisfy the varied groups that have an interest in network design and implementation. Simulation in Computer Network Design and Modeling: Use and Analysis reviews methodologies in computer network simulation and modeling, illustrates the benefits of simulation in computer networks design, modeling, and analysis, and identifies the main issues that face efficient and effective computer network simulation. This reference will inform the work and research of academics, post-graduate students, developers, network designers, network analysts, telecommunication system designers, and others who are interested in using simulation in computer network design and modeling.

Big data has been upgraded to our national strategy and has become a catalyst for national and local economic development. With the further promotion of big data and artificial intelligence (AI), the new business model needs to optimize and upgrade. The integration of the blockchain industry will fully implement the digital China strategy and promote the application of big data in China.This unique compendium gives a comprehensive understanding of the blockchain content through the path of technological innovation. It enables readers to fully understand the role of blockchain in promoting the digital economy.The volume will be a useful reference guide for relevant personnel in state ministries and commissions, state-owned enterprises, big data, AI, as well as teachers, researchers and students in higher education institutions.

The worldwide reach of the Internet allows malicious cyber criminals to coordinate and launch attacks on both cyber and cyber-physical infrastructure from anywhere in the world. This purpose of this handbook is to introduce the theoretical foundations and practical solution techniques for securing critical cyber and physical infrastructures as well as their underlying computing and communication architectures and systems. Examples of such infrastructures include utility networks (e.g., electrical power grids), ground transportation systems (automotives, roads, bridges and tunnels), airports and air traffic control systems, wired and wireless communication and sensor networks, systems for storing and distributing water and food supplies, medical and healthcare delivery systems, as well as financial, banking and commercial transaction assets. The handbook focus mostly on the scientific foundations and engineering techniques - while also addressing the proper integration of policies and access control mechanisms, for example, how human-developed policies can be properly enforced by an automated system.

*Addresses the technical challenges facing design of secure infrastructures by providing examples of problems and solutions from a wide variety of internal and external attack scenarios

*Includes contributions from leading researchers and practitioners in relevant application areas such as smart power grid, intelligent transportation systems, healthcare industry and so on.

*Loaded with examples of real world problems and pathways to solutions utilizing specific tools and techniques described in detail throughout

Service Oriented Architecture (SOA) is the paradigm for software and system specification, design, implementation and management that intends to shape and dominate IT and business landscapes in the near future. Non-Functional Properties in Service Oriented Architecture: Requirements, Models and Methods offers a selection of chapters that cover three important aspects related to the use of non-functional properties in SOA: requirements specification with respect to non-functional properties, modeling non-functional properties and implementation of non-functional properties. This book serves as both a practical reference and an advanced scientific source for those interested in current issues, new trends, and yet-unresolved areas of the discipline.

Dynamic, trustworthy and reliable service delivery in Service Oriented Architectures (SOA) is one of the main preconditions for successful and sustainable business operations. Service and business process reliability is, therefore, of paramount importance and cannot be compromised. Engineering Reliable Service Oriented Architecture: Managing Complexity and Service Level Agreements presents a guide to engineering reliable SOA systems and enhances current understanding of service reliability. It is an essential reference for both practitioners and researchers wishing to explore state-of-the art results from the field of reliable SOA application engineering.

In today's globalized world, businesses and governments rely heavily on technology for storing and protecting essential information and data. Despite the benefits that computing systems offer, there remains an assortment of issues and challenges in maintaining the integrity and confidentiality of these databases. As professionals become more dependent cyberspace, there is a need for research on modern strategies and concepts for improving the security and safety of these technologies. Modern Theories and Practices for Cyber Ethics and Security Compliance is a collection of innovative research on the concepts, models, issues, challenges, innovations, and mitigation strategies needed to improve cyber protection. While highlighting topics including database governance, cryptography, and intrusion detection, this book provides guidelines for the protection, safety, and security of business data and national infrastructure from cyber-attacks. It is ideally designed for security analysts, law enforcement, researchers, legal practitioners, policymakers, business professionals, governments, strategists, educators, and students seeking current research on combative solutions for cyber threats and attacks.

Privacy protection within large databases can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. HCI Challenges and Privacy Preservation in Big Data Security is an informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.

The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.

Cybersecurity threats have become ubiquitous and continue to topple every facet of the digital realm as they are a problem for anyone with a gadget or hardware device. However, there are some actions and safeguards that can assist in avoiding these threats and challenges; further study must be done to ensure businesses and users are aware of the current best practices. Cybersecurity Issues, Challenges, and Solutions in the Business World considers cybersecurity innovation alongside the methods and strategies for its joining with the business industry and discusses pertinent application zones such as smart city, e-social insurance, shrewd travel, and more. Covering key topics such as blockchain, data mining, privacy, security issues, and social media, this reference work is ideal for security analysts, forensics experts, business owners, computer scientists, policymakers, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Get ready for a career in IT security and efficiently prepare for the SY0-601 exam with a single, comprehensive resource CompTIA Security+ Practice Tests: Exam SY0-601, Second Edition efficiently prepares you for the CompTIA Security+ SY0-601 Exam with one practice exam and domain-by-domain questions. With a total of 1,000 practice questions, you'll be as prepared as possible to take Exam SY0-601. Written by accomplished author and IT security expert David Seidl, the 2nd Edition of CompTIA Security+ Practice Tests includes questions covering all five crucial domains and objectives on the SY0-601 exam: Attacks, Threats, and Vulnerabilities Architecture and Design Implementation Operations and Incident Response Governance, Risk, and Compliance Perfect for anyone looking to prepare for the SY0-601 Exam, upgrade their skills by earning a high-level security certification (like CASP+, CISSP, or CISA), as well as anyone hoping to get into the IT security field, CompTIA Security+ Practice Tests allows for efficient and comprehensive preparation and study.

Recent technology trends involving the combination of mobile networks and cloud computing have offered new chances for mobile network providers to use specific carrier-cloud services. These advancements will enhance the utilization of the mobile cloud in industry and corporate settings. Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications is a fundamental source for the advancement of knowledge, application, and practice in the interdisciplinary areas of mobile network and cloud computing. By addressing innovative concepts and critical issues, this book is essential for researchers, practitioners, and students interested in the emerging field of vehicular wireless networks.

Private cloud computing enables you to consolidate diverse enterprise systems into one that is cloud-based and can be accessed by end-users seamlessly, regardless of their location or changes in overall demand. Expert authors Steve Smoot and Nam K. Tan distill their years of networking experience to describe how to build enterprise networks to create a private cloud. With their techniques you'll create cost-saving designs and increase the flexibility of your enterprise, while maintaining the security and control of an internal network. "Private Cloud Computing "offers a complete cloud architecture for enterprise networking by synthesizing WAN optimization, next-generation data centers, and virtualization in a network-friendly way, tying them together into a complete solution that can be progressively migrated to as time and resources permit.
Describes next-generation data center architectures such as the virtual access-layer, the unified data center fabric and the "rack-and-roll" deployment modelProvides an overview of cloud security and cloud management from the server virtualization perspectivePresents real-world case studies, configuration and examples that allow you to easily apply practical know-how to your existing enterprise environmentOffers effective private cloud computing solutions to simplify the costly and problematic challenge of enterprise networking and branch server consolidation

Radio Frequency Identification (RFID) technology may become one of the most pervasive technologies of the near future. Yet the widespread adoption of this new technology presents security risks that have not been sufficiently addressed.Security and Trends in Wireless Identification and Sensing Platform Tags: Advancements in RFID highlights new research regarding wireless identification and sensing platform (WISP) tags, security, and applications. It serves as a reference on WISP technology and presents recent advances in this field. This volume serves as a useful reference for security experts, will introduce RFID professionals to new trends in this area, and can also be used by IT experts looking to utilize this technology.

About 25 years ago, the first developments of ANT (Actor-Network Theory) took place, but it wasn t until much later that researchers began to take it seriously. In the late 1990s, ANT began to take hold in the scientific community as a new and exciting approach to socio-technical research and social theory. Actor-Network Theory and Technology Innovation: Advancements and New Concepts provides a comprehensive look at the development of actor-network theory itself, as well as case studies of its use to assist in the explanation of various socio-technical phenomena. This book includes topics relating to technological innovation; both those using actor-network theory as an explanatory framework and those using other approaches. It is an excellent source of information regarding ANT as an approach to technological innovation and its link to ICT (Information Communication Technology).