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Книга рассказывает о семействе международных стандартов ISO/IEC 27k, определяющих требования и правила СУИБ (системы управления информационной безопасностью), порядок разработки СУИБ и алгоритмы управления рисками информационной безопасности и инцидентами информационной безопасности.

Good Luck! Have Fun! – приветствие, известное геймерам по всему миру. С ним мы обращаемся и к читателю первой в России книги о киберспорте.

Лучшая книга об игровой индустрии от известного американского журналиста Джейсона Шрейера. Автор собрал сотни уникальных и захватывающих историй создания лучших компьютерных игр десятилетия, рассказанных ему самими создателями. Получилась жизненная и нетривиальная книга о том, что стоит за каждой культовой игрой современности и какой ценой ее разработчики выпускают продукты, собирающие миллионы фанатов по всему миру. В книге вы найдете истории создания Diablo III и Dragon Age: Inquisition, Uncharted 4, Witcher III и многих других игровых бестселлеров.

This book focuses on ambient intelligence and addresses various issues related to data management, networking and HCI in this context. Taking a holistic view, it covers various levels of abstraction, ranging from fundamental to advanced concepts and brings together the contributions of various specialists in the field. Moreover, the book covers the key areas of computer science concerned with the emergence of ambient intelligence (e.g. interaction, middleware, networks, information systems, etc.). It even goes slightly beyond the borders of computer science with contributions related to smart materials and ethics. The authors cover a broad spectrum, with some chapters dedicated to the presentation of basic concepts and others focusing on emerging applications in various fields such as health, transport and tourism.

This book is an edition of the General Report on Tunny with commentary that clarifies the often difficult language of the GRT and fitting it into a variety of contexts arising out of several separate but intersecting story lines, some only implicit in the GRT. Explores the likely roots of the ideas entering into the Tunny cryptanalysis Includes examples of original worksheets, and printouts of the Tunny-breaking process in action Presents additional commentary, biographies, glossaries, essays, and bibliographies

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

The expert-led, full-coverage supporting guide for all four ITIL exams ITIL Intermediate Certification Companion Study Guide is your ultimate support system for the Intermediate ITIL Service Capability exams. Written by Service Management and ITIL framework experts, this book gives you everything you need to pass, including full coverage of all objectives for all four exams. Clear, concise explanations walk you through the process areas, concepts, and terms you need to know, and real-life examples show you how they are applied by professionals in the field every day. Although this guide is designed for exam preparation, it doesn't stop there – you also get expert insight on major topics in the field. The discussion includes operational support and analysis; planning, protection and optimization; release, control and validation; and service offerings and agreements that you'll need to know for the job. ITIL is the most widely-adopted IT Service Management qualification in the world, providing a practical, no-nonsense framework for identifying, planning, delivering, and supporting IT services to businesses. This book is your ideal companion for exam preparation, with comprehensive coverage and detailed information. Learn service strategy principles, organization, and implementation Master the central technologies used in IT Service Management Be aware of inherent challenges, risks, and critical success factors Internalize the material covered on all four ITIL exams The ITIL qualification is recognized around the globe, and is seen as the de facto certification for those seeking IT Service Management positions. Passing these exams requires thorough preparation and rigorous self-study, but the reward is a qualification that can follow you anywhere. ITIL Intermediate Certification Companion Study Guide for the ITIL Service Capability Exams leads you from Foundation to Master, giving you everything you need for exam success.

Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today’s most interesting and challenging biometric problems. Biometric traits covered: Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.

A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM) and the more advanced self-organizing hierarchical variance map (SOHVM). It covers a series of pertinent, real-world applications with regard to the processing of multimedia data—from its role in generic image processing techniques, such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management and its various roles in feature extraction, visual enhancement, segmentation, and analysis of microbiological image data. Self-organization concepts and applications discussed include: Distance metrics for unsupervised clustering Synaptic self-amplification and competition Image retrieval Impulse noise removal Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces a new family of unsupervised algorithms that have a basis in self-organization, making it an invaluable resource for researchers, engineers, and scientists who want to create systems that effectively model oppressive volumes of data with little or no user intervention.

In the forthcoming years, citizens of many countries will be provided with electronic identity cards. eID solutions may not only be used for passports, but also for communication with government authorities or local administrations, as well as for secure personal identification and access control in e-business. Further eID applications will be implemented in the healthcare sector. For some of these solutions we will not need a physical data carrier at all. The Handbook of eID Security is the first source presenting a comprehensive overview of this strongly discussed topic. It provides profound information on the following questions: – Which are the latest concepts, technical approaches, applications and trends in the field of eID? – Which areas of application are covered by the different eID concepts? – Which security mechanisms are used, for what reasons, and how can their reliability be ensured? – How will the security of personal data be guaranteed? This book is a perfect source of information for all persons working in industry, banking, healthcare, research institutes, administrations and public authorities: – who are involved in the development of eID application concepts, technical solutions, and of devices used for transfer and read out data to and from eIDs, – who have or will have to do with eID applications in their daily work, and – who participate in informing and discussing about the security and transparency of eID solutions.

Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings together the knowledge accumulated during many years to extract both theoretical foundations of graph partitioning and its main applications.