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A guide to computer network security / Joseph Migga Kizza
Switzerland : Springer, 2017
572 pages. : illustrations
Ký hiệu phân loại (DDC): 005.8
This definitive text/reference on computer network and information security presents a comprehensive guide to the repertoire of security tools, algorithms and best practices mandated by the rapidly evolving ubiquitous technology we are increasingly dependent on. Fully revised and updated, this timely new edition encompasses the latest developments in system resource virtualization, cloud computing models, and mobile computing technology, including a new chapter on the Internet of Things. Topics and features: · Highlights the magnitude of the vulnerabilities, weaknesses and loopholes inherent in current computer network technologies · Discusses how to develop effective security solutions, protocols, and best practices for the continuously evolving computing environment · Examines the role of legislation, regulation, and enforcement in securing computing and mobile systems · Describes the burning security issues increasingly brought about by the rapid advances in technologies like the Internet of Things, and the eroding boundaries between enterprise and home networks (NEW) · Provides both quickly workable and more thought-provoking exercises at the end of each chapter, with one chapter devoted entirely to hands-on exercises · Supplies additional support materials for instructors at an associated website, including laboratory exercises and projects, answers to selected exercises, and course slides This essential guide serves as both a textbook and a reference "toolbox" on all aspects of cyber security in the ever-evolving computing ecosystem. As such it will prove invaluable to a broad audience from students, researchers and practitioners in computer science and engineering, to data science security personnel and policy makers. Dr. Joseph Migga Kizza is Head and Professor, Department of Computer Science and Engineering, and past Director of the Center for Information Security and Assurance at the University of Tennessee at Chattanooga, TN, USA. Among his other publications are the successful Springer textbooks Ethical and Social Issues in the Information Age and Ethics in Computing: A Concise Module.
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Information systems today : Managing in the digital world / Joseph S. Valacich, Christoph Schneider, Leonard M. Jessup
England : Pearson Harlow, 2018
558 pages : color illustrations, color maps ; 28 cm.
Ký hiệu phân loại (DDC): 658.4038011
1. Managing in the Digital World
2. Gaining Competitive Advantage Through Information Systems
3. Managing the Information Systems Infrastructure and Services
4. Enabling Business-to-Consumer Electronic Commerce
5. Enhancing Organizational Communication and Collaboration Using Social Media
6. Enhancing Business Intelligence Using Big Data and Analytics
7. Enhancing Business Processes Using Enterprise Information Systems
8. Strengthening Business-to-Business Relationships via Supply Chain and Customer Relationship Management
9. Developing and Acquiring Information Systems
10. Securing Information Systems Technology Briefing Foundations of Information Systems Infrastructure
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Machine translation : its scope and limits / Yorick Wilks
New York ; : London : Springer, 2008.
1 online resource x, 252 pages. : illustrations ; cm.
Ký hiệu phân loại (DDC): 006.3
Machine Translation is the author's comprehensive view of machine translation (MT) from the perspective of a participant in its history and development. The text considers MT as a fundamental part of Artificial Intelligence and the ultimate test-bed for all computational linguistics, covering historical and contemporary systems in Europe, the US and Japan. The author describes and contrasts a range of approaches to MT's challenges and problems, and shows the evolution of conflicting approaches to MT towards some kind of skeptical consensus on future progress. The volume includes historic papers, updated with commentaries detailing their significance both at the time of their writing and now. The book concludes with a discussion of the most recent developments in the field and prospects for the future, which have been much changed by the arrival of the World Wide Web. Anyone interested in the progress of science and technology, particularly computer scientists and students, will find this a fascinating exploration of MT technology. Yorick Wilks is a Professor of Computer Science at the University of Sheffield, where he directs the Institute for Language, Speech and Hearing. He received his M.A. and Ph. D. (1968) from Pembroke College, Cambridge. He has also taught or researched at Stanford, Edinburgh, Geneva, Essex and New Mexico State Universities. His interests are artificial intelligence and the computer processing of language, knowledge and belief. He is a Fellow of the European and American Societies for Artificial Intelligence, a Fellow of the EPSRC College of Computing and a member of the UK Computing Research Council. Wilks was awarded the Antonio Zampolli prize by the European Language Resources Association in 2008. This prize is given to individuals whose work lies within the areas of Language Resources and Language Technology Evaluation with acknowledged contributions to their advancements. He was also the recipient of an ACL Life Achievement Award at the 46th Annual Meeting of the Association for Computational Linguistics in 2008.
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Principles of data mining / Max Bramer.
London : Springer London, 2016
530 pages : illustrations
Ký hiệu phân loại (DDC): 006.312
This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. This expanded third edition includes detailed descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift.
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