Böcker i Wiley Series on Parallel and Distributed Computing-serien

The rapid expansion of the Internet has made parallel and distributed stimulation (PADS) a hot technology indeed. It is now used not only to analyze the behavior of such systems as air traffic control or future communication networks, but also in computer generated "virtual worlds" such as flight simulation training devices and computer wargames.

Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systemsCyber-attacks on SCADA systems-the control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory management-can lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning.Providing expert insights, practical advice, and up-to-date coverage of developments in SCADA security, this authoritative guide presents a new approach for efficient unsupervised IDS driven by SCADA-specific data. Organized into eight in-depth chapters, the text first discusses how traditional IT attacks can also be possible against SCADA, and describes essential SCADA concepts, systems, architectures, and main components. Following chapters introduce various SCADA security frameworks and approaches, including evaluating security with virtualization-based SCADAVT, using SDAD to extract proximity-based detection, finding a global and efficient anomaly threshold with GATUD, and more. This important book:* Provides diverse perspectives on establishing an efficient IDS approach that can be implemented in SCADA systems* Describes the relationship between main components and three generations of SCADA systems* Explains the classification of a SCADA IDS based on its architecture and implementation* Surveys the current literature in the field and suggests possible directions for future researchSCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is a must-read for all SCADA security and networking researchers, engineers, system architects, developers, managers, lecturers, and other SCADA security industry practitioners.

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data.

Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic.

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics.

Internet-based business transactions can be broken down into a series of independent steps. This workflow often involves tools from an array of fields, such as network modeling, scheduling, distributed systems, artificial intelligence, software agents, and Java. This book deals with this topic.

This book offers comprehensive coverage of wireless networks and mobile computing with an emphasis on computer science and system considerations rather than devices. It offers detailed, practical discussion of topics such as cellular networks, channel assignment, queuing, power optimization, and more.

The complexity of today's information processing requirements, coupled with the availability of powerful computers, have boosted the interest in the study, design, and analysis of parallel algorithms. Introduction to Parallel Algorithms responds to the need in the field for an easy-to-understand text in this growth area of computer science.

The first single-source reference covering the state of the art in grid and utility computing economy researchThis book presents the first integrated, single-source reference on market-oriented grid and utility computing.

This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization.

Parallel Metaheuristics provides a single, up-to-date reference on parallel metaheuristic issues. This comprehensive book presents modern and ongoing research information on using, designing, and analyzing efficient models of parallel algorithms (numeric and real-time efficiency, algorithms, comparison of parallel models).

Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer. This book presents fundamentals of computer organization and architecture.

This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies.

Focuses on the area of parallel and distributed computing, and considers the diverse approaches. Covering a comprehensive set of models and paradigms, this book serves as both an introduction and a survey. It is suitable for students and can be used as a foundation for parallel and distributed computing courses.

Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer.

Divided into three parts, this work provides an introduction to the theory of distributed computing. It covers the fundamental models, issues, and techniques. It is organized around key simulations in distributed computing, and their applications.