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"This sobering description of many computer-related failures throughout our world deflates the hype and hubris of the industry. Peter Neumann analyzes the failure modes, recommends sequences for prevention and ends his unique book with some broadening reflections on the future." —Ralph Nader, Consumer Advocate This book is much more than a collection of computer mishaps; it is a serious, technically oriented book written by one of the world's leading experts on computer risks. The book summarizes many real events involving computer technologies and the people who depend on those technologies, with widely ranging causes and effects. It considers problems attributable to hardware, software, people, and natural causes. Examples include disasters (such as the Black Hawk helicopter and Iranian Airbus shootdowns, the Exxon Valdez, and various transportation accidents); malicious hacker attacks; outages of telephone systems and computer networks; financial losses; and many other strange happenstances (squirrels downing power grids, and April Fool's Day pranks). Computer-Related Risks addresses problems involving reliability, safety, security, privacy, and human well-being. It includes analyses of why these cases happened and discussions of what might be done to avoid recurrences of similar events. It is readable by technologists as well as by people merely interested in the uses and limits of technology. It is must reading for anyone with even a remote involvement with computers and communications—which today means almost everyone. Computer-Related Risks: Presents comprehensive coverage of many different types of risks Provides an essential system-oriented perspective Shows how technology can affect your life—whether you like it or not!
Examines practical research and case studies on such benchmark topics as biometric and security technology, protection of digital assets and information, multilevel computer self-efficacy, and end-user Web development. Provides research into the advancement, productivity, and performance of the end user computing domain.
"This book offers a review of recent developments of computer security, focusing on the relevance and implications of global privacy, law, and politics for society, individuals, and corporations.It compiles timely content on such topics as reverse engineering of software, understanding emerging computer exploits, emerging lawsuits and cases, global and societal implications, and protection from attacks on privacy"--Provided by publisher.
Computers, communications, digital information, softwareâ€"the constituents of the information ageâ€"are everywhere. Being computer literate, that is technically competent in two or three of today's software applications, is not enough anymore. Individuals who want to realize the potential value of information technology (IT) in their everyday lives need to be computer fluentâ€"able to use IT effectively today and to adapt to changes tomorrow. Being Fluent with Information Technology sets the standard for what everyone should know about IT in order to use it effectively now and in the future. It explores three kinds of knowledgeâ€"intellectual capabilities, foundational concepts, and skillsâ€"that are essential for fluency with IT. The book presents detailed descriptions and examples of current skills and timeless concepts and capabilities, which will be useful to individuals who use IT and to the instructors who teach them.
This book includes empirical and theoretical research concerned with all aspects of end user computing including development, utilization, and management and covering Web-based end user computing tools and technologies, end user computing software and trends, and end user characteristics and learning.
This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book’s webpage.
Hailed on first publication as a compendium of foundational principles and cutting-edge research, The Human-Computer Interaction Handbook has become the gold standard reference in this field. Derived from select chapters of this groundbreaking resource, Human-Computer Interaction: Design Issues, Solutions, and Applications focuses on HCI from a pri
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.