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This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Trusted Computing and Trust in Information Technologies, TRUST 2008, held in Villach, Austria, in March 2008. The 13 revised full papers presented together with 1 invited lecture were carefully reviewed and selected from 43 submissions. The papers cover the core issues of trust in IT systems and present recent leading edge developments in the field of trusted infrastructure and computing to foster the international knowledge exchange necessary to catch up with the latest trends in science and technology developments.
From early prototypes and proposed applications, this book surveys the longer history of amplifying small amounts of hardware security into broader system security Including real case study experience with security architecture and applications on multiple types of platforms. Examines the theory, design, implementation of the IBM 4758 secure coprocessor platform and discusses real case study applications that exploit the unique capabilities of this platform. Examines more recent cutting-edge experimental work in this area. Written for security architects, application designers, and the general computer scientist interested in the evolution and use of this emerging technology.
This book describes the state-of-the-art in trusted computing for embedded systems. It shows how a variety of security and trusted computing problems are addressed currently and what solutions are expected to emerge in the coming years. The discussion focuses on attacks aimed at hardware and software for embedded systems, and the authors describe specific solutions to create security features. Case studies are used to present new techniques designed as industrial security solutions. Coverage includes development of tamper resistant hardware and firmware mechanisms for lightweight embedded devices, as well as those serving as security anchors for embedded platforms required by applications such as smart power grids, smart networked and home appliances, environmental and infrastructure sensor networks, etc. · Enables readers to address a variety of security threats to embedded hardware and software; · Describes design of secure wireless sensor networks, to address secure authentication of trusted portable devices for embedded systems; · Presents secure solutions for the design of smart-grid applications and their deployment in large-scale networked and systems.
The book summarizes key concepts and theories in trusted computing, e.g., TPM, TCM, mobile modules, chain of trust, trusted software stack etc, and discusses the configuration of trusted platforms and network connections. It also emphasizes the application of such technologies in practice, extending readers from computer science and information science researchers to industrial engineers.
Use Trusted Computing to Make PCs Safer, More Secure, and More Reliable Every year, computer security threats become more severe. Software alone can no longer adequately defend against them: what’s needed is secure hardware. The Trusted Platform Module (TPM) makes that possible by providing a complete, open industry standard for implementing trusted computing hardware subsystems in PCs. Already available from virtually every leading PC manufacturer, TPM gives software professionals powerful new ways to protect their customers. Now, there’s a start-to-finish guide for every software professional and security specialist who wants to utilize this breakthrough security technology. Authored by innovators who helped create TPM and implement its leading-edge products, this practical book covers all facets of TPM technology: what it can achieve, how it works, and how to write applications for it. The authors offer deep, real-world insights into both TPM and the Trusted Computing Group (TCG) Software Stack. Then, to demonstrate how TPM can solve many of today’s most challenging security problems, they present four start-to-finish case studies, each with extensive C-based code examples. Coverage includes What services and capabilities are provided by TPMs TPM device drivers: solutions for code running in BIOS, TSS stacks for new operating systems, and memory-constrained environments Using TPM to enhance the security of a PC’s boot sequence Key management, in depth: key creation, storage, loading, migration, use, symmetric keys, and much more Linking PKCS#11 and TSS stacks to support applications with middleware services What you need to know about TPM and privacy--including how to avoid privacy problems Moving from TSS 1.1 to the new TSS 1.2 standard TPM and TSS command references and a complete function library
In this book the authors first describe the background of trusted platforms and trusted computing and speculate about the future. They then describe the technical features and architectures of trusted platforms from several different perspectives, finally explaining second-generation TPMs, including a technical description intended to supplement the Trusted Computing Group's TPM2 specifications. The intended audience is IT managers and engineers and graduate students in information security.
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.
Trusting a computer for a security-sensitive task (such as checking email or banking online) requires the user to know something about the computer's state. We examine research on securely capturing a computer's state, and consider the utility of this information both for improving security on the local computer (e.g., to convince the user that her computer is not infected with malware) and for communicating a remote computer's state (e.g., to enable the user to check that a web server will adequately protect her data). Although the recent "Trusted Computing" initiative has drawn both positive and negative attention to this area, we consider the older and broader topic of bootstrapping trust in a computer. We cover issues ranging from the wide collection of secure hardware that can serve as a foundation for trust, to the usability issues that arise when trying to convey computer state information to humans. This approach unifies disparate research efforts and highlights opportunities for additional work that can guide real-world improvements in computer security.
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.
This book constitutes the refereed proceedings of the 11th Chinese Conference on Trusted Computing and Information Security, CTCIS 2017, held in Changsha, China, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers focus on topics such as theory of trusted computing, trustworthy software; infrastructure of trusted computing, application and evaluation of trusted computing; network security and communication security; theory and technology of cryptographic techniques; information content security; system security for mobile network and IoT systems, industrial control and embedded systems; security for Cloud computing, virtualization systems and big data.