Data has cemented itself as a building block of daily life. However, surrounding oneself with great quantities of information heightens risks to one's personal privacy. Additionally, the presence of massive amounts of information prompts researchers into how best to handle and disseminate it. Research is necessary to understand how to cope with the current technological requirements. Large-Scale Data Streaming, Processing, and Blockchain Security is a collection of innovative research that explores the latest methodologies, modeling, and simulations for coping with the generation and management of large-scale data in both scientific and individual applications. Featuring coverage on a wide range of topics including security models, internet of things, and collaborative filtering, this book is ideally designed for entrepreneurs, security analysts, IT consultants, security professionals, programmers, computer technicians, data scientists, technology developers, engineers, researchers, academicians, and students.

From transportation to healthcare, IoT has been heavily implemented into practically every professional industry, making these systems highly susceptible to security breaches. Because IoT connects not just devices but also people and other entities, every component of an IoT system remains vulnerable to attacks from hackers and other unauthorized units. This clearly portrays the importance of security and privacy in IoT, which should be strong enough to keep the entire platform and stakeholders secure and smooth enough to not disrupt the lucid flow of communication among IoT entities. Applied Approach to Privacy and Security for the Internet of Things is a collection of innovative research on the methods and applied aspects of security in IoT-based systems by discussing core concepts and studying real-life scenarios. While highlighting topics including malware propagation, smart home vulnerabilities, and bio-sensor safety, this book is ideally designed for security analysts, software security engineers, researchers, computer engineers, data scientists, security professionals, practitioners, academicians, and students seeking current research on the various aspects of privacy and security within IoT.

The notion of surveillance has become increasingly more crucial in public conversation as new tools of observation are obtained by many different players. The traditional notion of "overseeing" is being increasingly replaced by multi-level surveillance where many different actors, at different levels of hierarchy, from the child surveilling the parent to the state surveilling its citizens, are entering the surveillance theater. This creates a unique surveillance ecosystem where the individual is observed not only as an analog flesh-and-blood body moving through real spaces such as a shopping mall, but also tracked as a data point where the volume of data is perpetually and permanently expanding as the digital life story is inscribed in the digital spaces. The combined narrative of the individual is now under surveillance. Modern Day Surveillance Ecosystem and Impacts on Privacy navigates the reader through an understanding of the self as a narrative element that is open for observation and analysis. This book provides a broad-based and theoretically grounded look at the overall processes of surveillance in a global system. Covering topics including commodity, loss of privacy, and big data, this text is essential for researchers, government officials, policymakers, security analysts, lawmakers, teachers, professors, graduate and undergraduate students, practitioners, and academicians interested in communication, technology, surveillance, privacy, and more.

A quick, easy-to-read synthesis of theory, guidelines, and evidence-based research, this book offers timely, practical guidance for library and information professionals who must navigate ethical crises in information privacy and stay on top of emerging privacy trends. Emerging technologies create new concerns about information privacy within library and information organizations, and many information professionals lack guidance on how to navigate the ethical crises that emerge when information privacy and library policy clash. What should we do when a patron leaves something behind? How do we justify filtering internet access while respecting accessibility and privacy? How do we balance new technologies that provide anonymity with the library's need to prevent the illegal use of their facilities? Library Patrons' Privacy presents clear, conversational, evidence-based guidance on how to navigate these ethical questions in information privacy. Ideas from professional organizations, government entities, scholarly publications, and personal experiences are synthesized into an approachable guide for librarians at all stages of their career. This guide, designed by three experienced LIS scholars and professionals, is a quick and enjoyable read that students and professionals of all levels of technical knowledge and skill will find useful and applicable to their libraries. Presents practical, evidence-based guidance for navigating common ethical problems in library and information science Introduces library and information professionals and students to emerging issues in information privacy Provides students and practitioners with a foundation of practical problem-solving strategies for handling information privacy issues in emerging technologies Guides the design of new information privacy policy in all types of libraries Encourages engagement with information privacy technologies to assist in fulfilling the American Library Association's core values

Understand how to set up, configure, and use Azure Sentinel to provide security incident and event management services for your environment Key Features Secure your network, infrastructure, data, and applications on Microsoft Azure effectively Integrate artificial intelligence, threat analysis, and automation for optimal security solutions Investigate possible security breaches and gather forensic evidence to prevent modern cyber threats Book DescriptionAzure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you'll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic. This book starts with an introduction to Azure Sentinel and Log Analytics. You'll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you'll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you'll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this book, you'll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Understand how to design and build a security operations center Discover the key components of a cloud security architecture Manage and investigate Azure Sentinel incidents Use playbooks to automate incident responses Understand how to set up Azure Monitor Log Analytics and Azure Sentinel Ingest data into Azure Sentinel from the cloud and on-premises devices Perform threat hunting in Azure Sentinel Who this book is forThis book is for solution architects and system administrators who are responsible for implementing new solutions in their infrastructure. Security analysts who need to monitor and provide immediate security solutions or threat hunters looking to learn how to use Azure Sentinel to investigate possible security breaches and gather forensic evidence will also benefit from this book. Prior experience with cloud security, particularly Azure, is necessary.