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Introduction to Algorithmic Government
The world is changing at a fast pace, so is the Government and Governance style. Humans are bound to go for Algorithmic strategies rather than manual or electronic ones in different domains. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.
Introduction to Metaverse
This book discusses Metaverse Technology, which is one of the emerging technologies around the world, through its concepts, definitions, architectural layers, economic implications, and presents comparison points with other allied areas like Web 3.0, Digital Twin, Blockchain, Multiverse, Artificial Intelligence, Internet of Everything and Hyperautomation. The book also presents several use-cases and adoption areas of Metaverse technology, along with global outlook of top companies implementing this technology through major platforms and tools. The potential use of this technology for Public Sector is also explored in this book, apart from the suggested business framework for its adoption. Potential misuse and ethical concerns have also been summarised. This introductory book on Metaverse, written with a multidisciplinary approach, will provide readers with a clear understanding of what the Metaverse is, what technologies are involved in its creation, and its current as well as potential future applications, in a very simple manner.
EdgeAI for Algorithmic Government
The book provides various EdgeAI concepts related to its architecture, key performance indicators, and enabling technologies after introducing algorithmic government, large-scale decision-making, and computing issues in the cloud and fog. With advancements in technology, artificial intelligence has permeated our personal lives and the fields of economy, socio-culture, and politics. The integration of artificial intelligence (AI) into decision-making for public services is changing how governments operate worldwide. This book discusses how algorithms help the government in various ways, including virtual assistants for busy civil servants, automated public services, and algorithmic decision-m...
Quality, Reliability, Security and Robustness in Heterogeneous Networks
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2013, which was held in National Capital Region (NCR) of India during January 2013. The 87 revised full papers were carefully selected from 169 submissions and present the recent technological developments in broadband high-speed networks, peer-to-peer networks, and wireless and mobile networks.
Security and Privacy
This book consists of refereed selected papers from the International Conference on Security & Privacy – ICSP 2020. The book is focused on the state-of-the-art developments of network security, secure cryptographic protocols, post-quantum cryptography, quantum cryptography, block-chain and cryptocurrency, IoT security and privacy, cloud security, machine learning in cybersecurity, and other disciplines related to security and privacy. In this book, a wide variety of basic security primitives are discussed along with recent developments in some advanced topics like functional encryption, two-party/multi-party computation, bitcoin, cryptocurrency, and post-quantum security.
Leveraging Digital Innovation for Governance, Public Administration, and Citizen Services: Emerging Research and Opportunities
Digital innovations are often non-linear, non-incremental, and perhaps at times, disruptive processes that have transformed private as well as public service delivery. The rise of digitization has not only overhauled the governance system and enabled greater government-citizen engagement but has also revolutionized public administration. For public organizations to thrive, it is imperative to understand the challenges and applications that digitization can create for the development, deployment, and management of public service processes. Leveraging Digital Innovation for Governance, Public Administration, and Citizen Services: Emerging Research and Opportunities is a comprehensive research ...
Securing Transactions and Payment Systems for M-Commerce
Mobile commerce, or M-commerce, is booming as many utilize their mobile devices to complete transactions ranging from personal shopping to managing and organizing business operations. The emergence of new technologies such as money sharing and transactional applications have revolutionized the way we do business. Wholeheartedly adopted by both the business world and consumers, mobile commerce has taken its seat at the head of the mobile app economy. Securing Transactions and Payment Systems for M-Commerce seeks to present, analyze, and illustrate the challenges and rewards of developing and producing mobile commerce applications. It will also review the integral role M-commerce plays in global business. As consumers’ perceptions are taken into account, the authors approach this burgeoning topic from all perspectives. This reference publication is a valuable resource for programmers, technology and content developers, students and instructors in the field of ICT, business professionals, and mobile app developers.
Web Usage Mining Techniques and Applications Across Industries
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
E-Governance in India
The book discusses the concepts of E-Governance from the understanding of a naïve user. While providing introduction to the concept, it shows the status of E-Governance in India through various measures, and its progress through different case studies. The historical development of E-Governance around the world and its rise in few developed and developing nations have also been discussed. The book also elaborates the establishment of E-Governance in India in detail and then compares the progress in Indian states through different measures and metrics. The structure of the E-Governance in India has been explained, including the explanation of the details related to National E-Governance Plan. The book is a combination of theoretical and practical concepts defined over various aspects of E-Governance in India. This book serves as the first stage reading material for any individual working in the Indian region on E-Governance.
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction...
