The Basics of Information Security: Understanding the Fundamentals of InfoSec in Theory and Practice

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The Basics of Information Security provides fundamental knowledge of information security in both theoretical and practical aspects. This book is packed with key concepts of information security, such as confidentiality, integrity, and availability, as well as tips and additional resources for further advanced study. It also includes practical applications in the areas of operations, physical, network, operating system, and application security. Complete with exercises at the end of each chapter, this book is well-suited for classroom or instructional use.

The book consists of 10 chapters covering such topics as identification and authentication; authorization and access control; auditing and accountability; cryptography; operations security; physical security; network security; operating system security; and application security. Useful implementations for each concept are demonstrated using real world examples. PowerPoint lecture slides are available for use in the classroom.
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it’s specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

DNS Security: In-depth Vulnerability Analysis and Mitigation Solutions

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The Domain Name System (DNS) is arguably one of the most important network infrastructure services. As the enabler of almost every web, email, instant messaging, and e-commerce transaction, it is the central nervous system of the Internet. DNS is also a critical component for new and emerging applications such as Voice over LTE (VoLTE) in cellular networks, Voice over IP (VoIP) Telephony, Radio Frequency IDs (RFID), and Content Distribution Networks (CDN).

Now in IEEE ComSoc's Best Readings, this book gives the reader an in-depth understanding of how DNS works, its security vulnerabilities, how to monitor and detect security related events and how to prevent and mitigate attacks. After reading the book, the reader will be able to recognize and explain the major issues around DNS security, and know the best practices to setup, operate, and protect DNS service.
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Malware

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Malware
Jay Marston works for XOr AntiVirus, fighting malware outbreaks. A new virus starts to infect computers the world over. They defeat it, but it bugs Jay. It was too easy. Something else is going on, something much bigger.

He calls in favours from his shadowy blackhat contacts in an attempt to track down the source of the infection. Only then does it become apparent how dangerous this particular malware threat really is…
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Cyber Security for Industrial Control Systems: From the Viewpoint of Close-Loop

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Cyber Security for Industrial Control Systems: From the Viewpoint of Close-Loop provides a comprehensive technical guide on up-to-date new secure defending theories and technologies, novel design, and systematic understanding of secure architecture with practical applications. The book consists of 10 chapters, which are divided into three parts.

The first three chapters extensively introduce secure state estimation technologies, providing a systematic presentation on the latest progress in security issues regarding state estimation. The next five chapters focus on the design of secure feedback control technologies in industrial control systems, displaying an extraordinary difference from that of traditional secure defending approaches from the viewpoint of network and communication. The last two chapters elaborate on the systematic secure control architecture and algorithms for various concrete application scenarios.
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