Scandalous Desires
The Mindful Investor
I Feel Bad About My Neck
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MDCT
Computed tomography (CT) is the most rapidly evolving medical imaging technology. This book describes examination techniques and advanced clinical applications of multidetector computed tomography (MDCT) scanners in chapters contributed by several distinguished radiologists and clinicians.
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Physical and Logical Security Convergence
Government and companies have already invested hundreds of millions of dollars in the convergence of physical and logical security solutions, but there are no books on the topic. This book begins with an overall explanation of information security, physical security, and why approaching these two different types of security in one way (called convergence) is so critical in today's changing security landscape. It then details enterprise security management as it relates to incident detection and incident management. This is followed by detailed examples of implementation, taking the reader through cases addressing various physical security technologies such as: video surveillance, HVAC, RFID, access controls, biometrics, and more. *This topic is picking up momentum every day with every new computer exploit, announcement of a malicious insider, or issues related to terrorists, organized crime, and nation-state threats *The author has over a decade of real-world security and management expertise developed in some of the most sensitive and mission-critical environments in the world *Enterprise Security Management (ESM) is deployed in tens of thousands of organizations worldwide
Lectures in Game Theory for Computer Scientists
A collection of lectures on various aspects of game theory relevant for computer scientists.
Privacy-Preserving Data Mining
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.