Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

Books Journals

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

1st Edition
December 9, 2014
Leonidas Deligiannidis + 1 more
English
Paperback
9 7 8 0 1 2 8 0 2 0 4 5 6
eBook
9 7 8 0 1 2 8 0 2 0 9 2 0

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data.

Reliability Assurance of Big Data in the Cloud

1st Edition
December 9, 2014
Yun Yang + 2 more
English
Paperback
9 7 8 0 1 2 8 0 2 5 7 2 7
eBook
9 7 8 0 1 2 8 0 2 6 6 8 7

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.

The Complete Business Process Handbook

1st Edition
December 6, 2014
Mark Von Rosing + 2 more
English
Paperback
9 7 8 0 1 2 7 9 9 9 5 9 3
eBook
9 7 8 0 1 2 8 0 0 4 7 2 2

The Complete Business Process Handbook is the most comprehensive body of knowledge on business processes with revealing new research. Written as a practical guide for Executives, Practitioners, Managers and Students by the authorities that have shaped the way we think and work with process today. It stands out as a masterpiece, being part of the BPM bachelor and master degree curriculum at universities around the world, with revealing academic research and insight from the leaders in the market. This book provides everything you need to know about the processes and frameworks, methods, and approaches to implement BPM. Through real-world examples, best practices, LEADing practices and advice from experts, readers will understand how BPM works and how to best use it to their advantage. Cases from industry leaders and innovators show how early adopters of LEADing Practices improved their businesses by using BPM technology and methodology. As the first of three volumes, this book represents the most comprehensive body of knowledge published on business process. Following closely behind, the second volume uniquely bridges theory with how BPM is applied today with the most extensive information on extended BPM. The third volume will explore award winning real-life examples of leading business process practices and how it can be replaced to your advantage.

Service Computing: Concept, Method and Technology

1st Edition
December 6, 2014
Zhaohui Wu
English
Hardback
9 7 8 0 1 2 8 0 2 3 3 0 3
eBook
9 7 8 0 1 2 8 0 2 5 9 7 0

Service computing is a cross-disciplinary field that covers science and technology, and represents a promising direction for distributed computing and software development methodologies. It aims to bridge the gap between business services and IT services by supporting the whole lifecycle of services innovation. Over the last ten years applications in industry and academic research have produced considerable progress and success Service Computing: Concept, Method and Technology presents the concept of service computing and a proposed reference architecture for service computing research before proceeding to introduce two underlying technologies: Web services and service-oriented architecture. It also presents the authors’ latest research findings on hot topics such as service discovery, recommendation, composition, verification, service trust, dynamic configuration and big data service. Some new models and methods are proposed including three service discovery methods based on semantics and skyline technologies, two service recommendation methods using graph mining and QoS prediction, two service composition methods with graph planning and one service verification method using π calculus and so on. Moreover, this book introduces JTang, an underlying platform supporting service computing, which is a product of the authors’ last ten years of research and development.

Household Service Robotics

1st Edition
December 5, 2014
Yangsheng Xu + 2 more
English
Hardback
9 7 8 0 1 2 8 0 0 8 8 1 2
eBook
9 7 8 0 1 2 8 0 0 9 4 3 7

Copyright ©2015 Zhejiang University Press, Published by Elsevier Inc. Household Service Robotics is a collection of the latest technological advances in household service robotics in five main areas: robot systems, manipulation, navigation, object recognition, and human-robot interaction. The book enables readers to understand development s and apply them to their own working areas, including: Robotic technologies for assisted living and elderly care Domestic cleaning automation Household surveillance Guiding systems for public spaces Service robotics is a highly multidisciplinary field, requiring a holistic approach. This handbook provides insights to the disciplines involved in the field as well as advanced methods and techniques that enable the scale-up of theory to actual systems. It includes coverage of functionalities such as vision systems, location control, and HCI, which are important in domestic settings.

Building an Intelligence-Led Security Program

1st Edition
December 5, 2014
Allan Liska
English
Paperback
9 7 8 0 1 2 8 0 2 1 4 5 3
eBook
9 7 8 0 1 2 8 0 2 3 7 0 9

As recently as five years ago, securing a network meant putting in a firewall, intrusion detection system, and installing antivirus software on the desktop. Unfortunately, attackers have grown more nimble and effective, meaning that traditional security programs are no longer effective. Today's effective cyber security programs take these best practices and overlay them with intelligence. Adding cyber threat intelligence can help security teams uncover events not detected by traditional security platforms and correlate seemingly disparate events across the network. Properly-implemented intelligence also makes the life of the security practitioner easier by helping him more effectively prioritize and respond to security incidents. The problem with current efforts is that many security practitioners don't know how to properly implement an intelligence-led program, or are afraid that it is out of their budget. Building an Intelligence-Led Security Program is the first book to show how to implement an intelligence-led program in your enterprise on any budget. It will show you how to implement a security information a security information and event management system, collect and analyze logs, and how to practice real cyber threat intelligence. You'll learn how to understand your network in-depth so that you can protect it in the best possible way.

How to Define and Build an Effective Cyber Threat Intelligence Capability

1st Edition
December 5, 2014
Henry Dalziel
Eric Olson + 1 more
English
Paperback
9 7 8 0 1 2 8 0 2 7 3 0 1
eBook
9 7 8 0 1 2 8 0 2 7 5 2 3

Intelligence-Led Security: How to Understand, Justify and Implement a New Approach to Security is a concise review of the concept of Intelligence-Led Security. Protecting a business, including its information and intellectual property, physical infrastructure, employees, and reputation, has become increasingly difficult. Online threats come from all sides: internal leaks and external adversaries; domestic hacktivists and overseas cybercrime syndicates; targeted threats and mass attacks. And these threats run the gamut from targeted to indiscriminate to entirely accidental. Among thought leaders and advanced organizations, the consensus is now clear. Defensive security measures: antivirus software, firewalls, and other technical controls and post-attack mitigation strategies are no longer sufficient. To adequately protect company assets and ensure business continuity, organizations must be more proactive. Increasingly, this proactive stance is being summarized by the phrase Intelligence-Led Security: the use of data to gain insight into what can happen, who is likely to be involved, how they are likely to attack and, if possible, to predict when attacks are likely to come. In this book, the authors review the current threat-scape and why it requires this new approach, offer a clarifying definition of what Cyber Threat Intelligence is, describe how to communicate its value to business, and lay out concrete steps toward implementing Intelligence-Led Security.

How to Defeat Advanced Malware

1st Edition
December 5, 2014
Henry Dalziel
Simon Crosby
English
Paperback
9 7 8 0 1 2 8 0 2 7 3 1 8
eBook
9 7 8 0 1 2 8 0 2 7 5 3 0

How to Defeat Advanced Malware is a concise introduction to the concept of micro-virtualization. The book provides current facts and figures that prove detection- based security products have become ineffective. A simple strategy is then presented that both leverages the opportunities presented by Bring Your Own Device (BYOD) and protects enterprise end users against advanced malware. The book concludes with case studies demonstrating how hardware- isolated micro-VMs are helping Fortune 500 financial service providers defeat advanced malware. This book is primarily designed for infosec professionals, consultants, network administrators, CIO’s, CTO’s, CISO’s and senior executives who work within the financial industry and are responsible for their company’s endpoint protection. How to Defeat Advanced Malware: New Tools for Protection and Forensics is the first book to compare and contrast current endpoint security products, while making a case for encouraging and facilitating the growth of BYOD and social media by adopting micro-virtualization.

How to Attack and Defend Your Website

1st Edition
December 5, 2014
Henry Dalziel
Alejandro Caceres
English
Paperback
9 7 8 0 1 2 8 0 2 7 3 2 5
eBook
9 7 8 0 1 2 8 0 2 7 5 4 7

How to Attack and Defend Your Website is a concise introduction to web security that includes hands-on web hacking tutorials. The book has three primary objectives: to help readers develop a deep understanding of what is happening behind the scenes in a web application, with a focus on the HTTP protocol and other underlying web technologies; to teach readers how to use the industry standard in free web application vulnerability discovery and exploitation tools – most notably Burp Suite, a fully featured web application testing tool; and finally, to gain knowledge of finding and exploiting the most common web security vulnerabilities. This book is for information security professionals and those looking to learn general penetration testing methodology and how to use the various phases of penetration testing to identify and exploit common web protocols. How to Attack and Defend Your Website is be the first book to combine the methodology behind using penetration testing tools such as Burp Suite and Damn Vulnerable Web Application (DVWA), with practical exercises that show readers how to (and therefore, how to prevent) pwning with SQLMap and using stored XSS to deface web pages.

A Machine-Learning Approach to Phishing Detection and Defense

1st Edition
December 5, 2014
O.A. Akanbi + 2 more
English
eBook
9 7 8 0 1 2 8 0 2 9 4 6 6

Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

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