Author: Michael Gregg Publisher: John Wiley & Sons ISBN: 1118987136 Category : Computers Languages : en Pages : 486
Book Description
The ultimate hands-on guide to IT security and proactive defense The Network Security Test Lab is a hands-on, step-by-step guide to ultimate IT security implementation. Covering the full complement of malware, viruses, and other attack technologies, this essential guide walks you through the security assessment and penetration testing process, and provides the set-up guidance you need to build your own security-testing lab. You'll look inside the actual attacks to decode their methods, and learn how to run attacks in an isolated sandbox to better understand how attackers target systems, and how to build the defenses that stop them. You'll be introduced to tools like Wireshark, Networkminer, Nmap, Metasploit, and more as you discover techniques for defending against network attacks, social networking bugs, malware, and the most prevalent malicious traffic. You also get access to open source tools, demo software, and a bootable version of Linux to facilitate hands-on learning and help you implement your new skills. Security technology continues to evolve, and yet not a week goes by without news of a new security breach or a new exploit being released. The Network Security Test Lab is the ultimate guide when you are on the front lines of defense, providing the most up-to-date methods of thwarting would-be attackers. Get acquainted with your hardware, gear, and test platform Learn how attackers penetrate existing security systems Detect malicious activity and build effective defenses Investigate and analyze attacks to inform defense strategy The Network Security Test Lab is your complete, essential guide.
Author: Shawn Cole Publisher: Abdul Latif Jameel Poverty Action Lab ISBN: 9781736021606 Category : Languages : en Pages : 618
Book Description
This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.
Author: Irene Joos Publisher: Jones & Bartlett Learning ISBN: 1284209881 Category : Medical Languages : en Pages : 571
Book Description
Introduction to Computers for Health Care Professionals, Seventh Edition is a contemporary computer literacy text geared toward nurses and other healthcare students.
Author: Irene Joos Publisher: Jones & Bartlett Learning ISBN: 1284194701 Category : Medical Languages : en Pages : 571
Book Description
Introduction to Computers for Health Care Professionals, Seventh Edition is a contemporary computer literacy text geared toward nurses and other healthcare students.
Author: Lynn Silipigni Connaway Publisher: Bloomsbury Publishing USA ISBN: Category : Language Arts & Disciplines Languages : en Pages : 351
Book Description
The seventh edition of this frequently adopted textbook features new or expanded sections on social justice research, data analysis software, scholarly identity research, social networking, data science, and data visualization, among other topics. It continues to include discipline experts' voices. The revised seventh edition of this popular text provides instruction and guidance for professionals and students in library and information science who want to conduct research and publish findings, as well as for practicing professionals who want a broad overview of the current literature. Providing a broad introduction to research design, the authors include principles, data collection techniques, and analyses of quantitative and qualitative methods, as well as advantages and limitations of each method and updated bibliographies. Chapters cover the scientific method, sampling, validity, reliability, and ethical concerns along with quantitative and qualitative methods. LIS students and professionals will consult this text not only for instruction on conducting research but also for guidance in critically reading and evaluating research publications, proposals, and reports. As in the previous edition, discipline experts provide advice, tips, and strategies for completing research projects, dissertations, and theses; writing grants; overcoming writer's block; collaborating with colleagues; and working with outside consultants. Journal and book editors discuss how to publish and identify best practices and understudied topics, as well as what they look for in submissions.
Author: Kim-Kwang Raymond Choo Publisher: Springer Nature ISBN: 3030385574 Category : Computers Languages : en Pages : 397
Book Description
This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.
Author: Dewani, Nisha Dhanraj Publisher: IGI Global ISBN: 1799886433 Category : Computers Languages : en Pages : 390
Book Description
The advancement of information and communication technology has led to a multi-dimensional impact in the areas of law, regulation, and governance. Many countries have declared data protection a fundamental right and established reforms of data protection law aimed at modernizing the global regulatory framework. Due to these advancements in policy, the legal domain has to face many challenges at a rapid pace making it essential to study and discuss policies and laws that regulate and monitor these activities and anticipate new laws that should be implemented in order to protect users. The Handbook of Research on Cyber Law, Data Protection, and Privacy focuses acutely on the complex relationships of technology and law both in terms of substantive legal responses to legal, social, and ethical issues arising in connection with growing public engagement with technology and the procedural impacts and transformative potential of technology on traditional and emerging forms of dispute resolution. Covering a range of topics such as artificial intelligence, data protection, and social media, this major reference work is ideal for government officials, policymakers, industry professionals, academicians, scholars, researchers, practitioners, instructors, and students.
Author: Kristin Briney Publisher: Pelagic Publishing Ltd ISBN: 178427013X Category : Computers Languages : en Pages : 312
Book Description
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin
Author: Agency for Healthcare Research and Quality/AHRQ Publisher: Government Printing Office ISBN: 1587634333 Category : Medical Languages : en Pages : 385
Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author: Luís Antunes Publisher: Springer Nature ISBN: 3030551962 Category : Computers Languages : en Pages : 213
Book Description
This book constitutes the refereed conference proceedings of the 8th Annual Privacy Forum, APF 2020, held in Lisbon, Portugal, in October 2020. The 12 revised full papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on impact assessment; privacy by design; data protection and security; and transparency.
Author: Michael Gregg
Author: Shawn Cole
Author: Irene Joos
Author: Irene Joos
Author: Lynn Silipigni Connaway
Author: Kim-Kwang Raymond Choo
Author: Dewani, Nisha Dhanraj
Author: Kristin Briney
Author: Agency for Healthcare Research and Quality/AHRQ
Author: Luís Antunes