The Economics of Financial and Medical Identity Theft

Springer Science & Business Media
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Financial identity theft is well understood with clear underlying motives. Medical identity theft is new and presents a growing problem. The solutions to both problems however, are less clear.

The Economics of Financial and Medical Identity Theft discusses how the digital networked environment is critically different from the world of paper, eyeballs and pens. Many of the effective identity protections are embedded behind the eyeballs, where the presumably passive observer is actually a fairly keen student of human behavior. The emergence of medical identity theft and the implications of medical data privacy are described in the second section of this book.

The Economics of Financial and Medical Identity Theft also presents an overview of the current technology for identity management. The book closes with a series of vignettes in the last chapter, looking at the risks we may see in the future and how these risks can be mitigated or avoided.

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Additional Information

Publisher
Springer Science & Business Media
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Published on
Mar 21, 2012
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Pages
168
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ISBN
9781461419181
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Best For
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Language
English
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Genres
Computers / Computer Vision & Pattern Recognition
Computers / Information Technology
Computers / Networking / Hardware
Computers / Optical Data Processing
Computers / Security / General
Language Arts & Disciplines / Library & Information Science / General
Medical / General
Medical / Instruments & Supplies
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Content Protection
This content is DRM protected.
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As our society grows ever more reliant on computers, so it also becomes more vulnerable to computer crime. Cyber attacks have been plaguing computer users since the 1980s, and computer security experts are predicting that smart telephones and other mobile devices will also become the targets of cyber security threats in the future.

Developed from the author's successful Springer guide to Foundations of Computer Security, this accessible textbook/reference is fully updated and enhanced with resources for students and tutors.

Topics and features: examines the physical security of computer hardware, networks, and digital data; introduces the different forms of rogue software (or malware), discusses methods for preventing and defending against malware, and describes a selection of viruses, worms and Trojans in detail; investigates the important threats to network security, and explores the subjects of authentication, spyware, and identity theft; discusses issues of privacy and trust in the online world, including children's privacy and safety; includes appendices which discuss the definition, meaning, and history of the term hacker, introduce the language of "l33t Speak", and provide a detailed virus timeline; provides numerous exercises and examples throughout the text, in addition to a Glossary of terms used in the book; supplies additional resources at the associated website, http://www.DavidSalomon.name/, including an introduction to cryptography, and answers to the exercises.

Clearly and engagingly written, this concise textbook is an ideal resource for undergraduate classes on computer security. The book is mostly non-mathematical, and is suitable for anyone familiar with the basic concepts of computers and computations.

Anyone who has ever bought a car, rented an apartment, had a job or conversation that they would rather not see in their employee review may find this book of interest. There is a collision occurring in identity management. Identity technologies are problematic, and many see light at the end of the identity theft tunnel. Yet the innovation is driven by individual tendencies to seek convenience and business imperatives to minimize risk with maximized profit. The light is an oncoming identity train wreck of maximum individual exposure, social risk and minimal privacy. The primary debate over identity technologies is happening on the issue of centralization. RealID is effectively a centralized standard with a slightly distributed back-end (e.g., fifty servers). RealID is a national ID card. Many mechanisms for federated identities, such as OpenID or the Liberty Alliance, imagine a network of identifiers shared on an as-needed or ad-hoc process. These systems accept the limits of human information processing, and thus use models that work on paper. Using models that work on paper results in systematic risk of identity theft in this information economy. There are alternatives to erosions of privacy and increasing fraud. There is an ideal where individuals have multiple devices, including computers, smart cards, and cell phones. Smart cards are credit card devices that are cryptographically secure. This may be shared and misused, or secure and privacy enhancing. Yet such a system requires coordinated investment.
"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.

Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.

Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms

Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

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