Описание: Highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors.
Описание: Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.
Описание: Cyber threats are ever increasing. Adversaries are getting more sophisticated and cyber criminals are infiltrating companies in a variety of sectors. In today's landscape, organizations need to acquire and develop effective security tools and mechanisms - not only to keep up with cyber criminals, but also to stay one step ahead.
Cyber-Vigilance and Digital Trust develops cyber security disciplines that serve this double objective, dealing with cyber security threats in a unique way. Specifically, the book reviews recent advances in cyber threat intelligence, trust management and risk analysis, and gives a formal and technical approach based on a data tainting mechanism to avoid data leakage in Android systems
Описание: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.
Автор: Arun Kumar Sangaiah; Arunkumar Thangavelu; Venkate Название: Cognitive Computing for Big Data Systems Over IoT ISBN: 331970687X ISBN-13(EAN): 9783319706870 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Beyond Automation: The Cognitive IoT - Artificial Intelligence Brings Sense to the Internet of Things.- Cybercrimes Investigation and Intrusion Detection in Internet of Things Based on Data Science Methods.- Modeling and Analysis of Multi-Objective Service Selection Scheme in IoT-Cloud Environment.- Cognitive data science automatic fraud detection solution, based on Benford' s law, fuzzy logic with elements of machine learning.- Reliable Cross Layer Design for E-health Applications - IoT Perspective.- Erasure Codes for Reliable Communication in Internet-ofThings (IoT) embedded with Wireless Sensors.- Review: Security and Privacy Issues of Fog Computing.- A Review on Security and Privacy Challenges of Big Data.- Recent Developments in Deep Learning with Applications.- High-Level Knowledge Representation and Reasoning in a Cognitive IoT/WoT Context.- Applications of IoT in Healthcare.- Security Stipulations on IoT Networks.- A Hyper Heuristic Localization Based Cloned Node Detection Technique using GSA Based Simulated Annealing in Sensor Networks.- Review on Analysis of the Application Areas and Algorithms used in Data Wrangling in Big Data.- An innovation model for Smart Traffic Management System Using Internet of Things(IoT).
Описание: Use a step-by-step process to create and deploy your first Azure IoT Edge solution.Modern day developers and architects in today’s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging.Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful.Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer.What You'll LearnCreate and deploy Azure IoT Edge solutionsRecognize when to leverage the intelligent edge pattern and when to avoid itLeverage the available developer tooling to develop and debug IoT Edge solutionsKnow which off-the-shelf edge computing modules are availableBecome familiar with some of the lesser-known device protocols used in conjunction with edge computingUnderstand how to securely deploy and bootstrap an IoT Edge deviceExplore related topics such as containers and secure device provisioning
Who This Book Is For
Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.
Описание: Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.The workshop organizers selected the best papers from those papers accepted for presentation at the workshop.
Описание: This book brings together internationally prominent scholars renowned for their work on post-Soviet republics, as well as outstanding emerging scholars native of Central Asia in order to discuss the state of education in the Central Asian Republics of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan.
Автор: Ram Shringar Rao, Vishal Jain, Omprakash Kaiwartya, Nanhay Singh Название: IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks ISBN: 1799825701 ISBN-13(EAN): 9781799825708 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28967.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The optimization of traffic management operations has become a considerable challenge in today's global scope due to the significant increase in the number of vehicles, traffic congestions, and automobile accidents. Fortunately, there has been substantial progress in the application of intelligent computing devices to transportation processes. Vehicular ad-hoc networks (VANETs) are a specific practice that merges the connectivity of wireless technologies with smart vehicles. Despite its relevance, empirical research is lacking on the developments being made in VANETs and how certain intelligent technologies are being applied within transportation systems.
IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks provides emerging research exploring the theoretical and practical aspects of intelligent transportation systems and analyzing the modern techniques that are being applied to smart vehicles through cloud technology. Featuring coverage on a broad range of topics such as health monitoring, node localization, and fault tolerance, this book is ideally designed for network designers, developers, analysists, IT specialists, computing professionals, researchers, academics, and post-graduate students seeking current research on emerging computing concepts and developments in vehicular ad-hoc networks.
Описание: Currently, the demand by consumption of agricultural products may be predicted quantitatively; moreover, the variation of harvest and production by the change of a farm's cultivated area, weather change, disease, insect damage, etc. is a challenge that has led to improper control of the supply and demand of agricultural products. Advancements in IoT and wireless sensor networks in precision agriculture and the cloud computing technology needed to deploy them can be used to address and solve these issues. IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities is an essential research book that focuses on the development of effective data-computing operations on agricultural advancements that are fully supported by IoT, cloud computing, and wireless sensor network systems and explores prospective applications of computing, analytics, and networking in various interdisciplinary domains of engineering. Featuring a range of topics such as power monitoring, healthcare, and GIS, this book is ideal for IT practitioners, farmers, network analysts, researchers, professionals, academicians, industry experts, and students.
Автор: Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar Название: Multimedia Big Data Computing for IoT Applications ISBN: 9811387583 ISBN-13(EAN): 9789811387586 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Поставка под заказ.
Описание: This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
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