信息安全原理与实践(第3版) 信息安全系统指南,随书附赠参考文献、PPT、习题文件,获取地址见书封底二维码。
本书是一本系统指南,在前版基础上进行了最新修订,将帮助你从容应对当今的信息安全挑战。 《信息安全原理与实践》是学生、教师和信息安全专业人员的用书。作者Mark Stamp以清晰、易懂和严谨的教学方式讲解了有关信息安全的4个关键组成部分:加密、访问控制、网络安全和软件。另外,本书列举丰富的示例,这些示例阐明了复杂的主题,突出了重要的安全问题,演示了保护数据机密性和完整性的有效方法和策略。
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信息安全原理与实践(第2版) 美国国家安全局密码分析专家面向21世纪的信息安全指南,理论体系一脉相承思考题发人深思,旨在引发讨论,动手实践,含教学PPT(下载见下方资源下载→网络资源)
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Product Details 基本信息 ISBN-13 书号 9780199587827 Author 作者 Stamp Dawkins Format 版本 精装 Pages Number 页数 224页 Publisher 出版社 Oxford University Press Publication Date 出版日期 2012-03-29 Shipping Weight 商品重量 378g Language 语种 英语 Book Contents 内容简介 In a world increasingly concerned with the human species and its future, Marian Stamp Dawkins argues that we need to rethink some of the fundamental questions regarding animal welfare. How are we justified in projecting human emotions on to animals What kind of mental lives do they have? What can science tell us about their quality of life?
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Product Details 基本信息 ISBN-13 书号 9780198848998 Author 作者 Stamp Dawkins Format 版本 平装-胶订 Pages Number 页数 160页 Publisher 出版社 Oxford University Press Publication Date 出版日期 2021-01-28 Language 语种 英语 Book Contents 内容简介 What is animal welfare Why has it proved so difficult to find a definition that everyone can agree on? This concise and accessible guide is for anyone who is interested in animals and who has wondered how we can assess their welfare scientifically.
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Product Details 基本信息 ISBN-13 书号 9780367573058 Author 作者 Mark Stamp Format 版本 平装-胶订 Pages Number 页数 364页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2020-06-30 Shipping Weight 商品重量 670g Language 语种 英语 Book Contents 内容简介 Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.The book covers core machine learning topics in-depth, including Hidden Markov Models, Principal Component Analysis, Support Vector Machines, and Clustering. It also includes coverage of Nearest Neighbors, Neural Networks, Bo
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Product Details 基本信息 ISBN-13 书号 9781138626782 Author 作者 Mark Stamp Format 版本 精装 Pages Number 页数 364页 Publication Date 出版日期 2017-09-07 Language 语种 英语 Book Contents 内容简介 This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.
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Product Details 基本信息 ISBN-13 书号 9783030970895 Author 作者 Mark Stamp Format 版本 平装-胶订 Pages Number 页数 380页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-07-16 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.82 Language 语种 其它(含多语) Book Contents 内容简介 This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult ’how’ and ’why’ questions that arise in AI within the security domain. For example, this book includes chapters covering ’explainable AI’, ’adversarial learning’, ’resilie
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Product Details 基本信息 ISBN-13 书号 9781032204925 Author 作者 Mark Stamp Format 版本 精装 Pages Number 页数 432页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2022-08-05 Product Dimensions 商品尺寸 234 x 156 mm (6.14 x 9.21 Language 语种 其它(含多语) Book Contents 内容简介 Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additi
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