Kali Linux CTF Blueprints

Rating: 
Amazon Price: N/A (as of September 20, 2017 07:16 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Build, test, and customize your own Capture the Flag challenges across multiple platforms designed to be attacked with Kali Linux

About This Book
Put the skills of the experts to the test with these tough and customisable pentesting projects
Develop each challenge to suit your specific training, testing, or client engagement needs
Hone your skills, from wireless attacks to social engineering, without the need to access live systems
Continue reading “Kali Linux CTF Blueprints”

Raspberry Pi Super Cluster

Rating: 
Amazon Price: N/A (as of September 20, 2017 16:19 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

In Detail

A cluster is a type of parallel/distributed processing system which consists of a collection of interconnected stand-alone computers cooperatively working together. Using Raspberry Pi computers, you can build a two-node parallel computing cluster which enhances performance and availability.
Continue reading “Raspberry Pi Super Cluster”

IT Security Metrics: A Practical Framework for Measuring Security & Protecting Data

Rating: 
Amazon Price: N/A (as of September 20, 2017 09:55 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Implement an Effective Security Metrics Project or Program

IT Security Metrics provides a comprehensive approach to measuring risks, threats, operational activities, and the effectiveness of data protection in your organization. The book explains how to choose and design effective measurement strategies and addresses the data requirements of those strategies. The Security Process Management Framework is introduced and analytical strategies for security metrics data are discussed. You'll learn how to take a security metrics program and adapt it to a variety of organizational contexts to achieve continuous security improvement over time. Real-world examples of security measurement projects are included in this definitive guide. Define security metrics as a manageable amount of usable data Design effective security metrics Understand quantitative and qualitative data, data sources, and collection and normalization methods Implement a programmable approach to security using the Security Process Management Framework Analyze security metrics data using quantitative and qualitative methods Design a security measurement project for operational analysis of security metrics Measure security operations, compliance, cost and value, and people, organizations, and culture Manage groups of security measurement projects using the Security Improvement Program Apply organizational learning methods to security metrics

Web Data Mining (Data-Centric Systems and Applications)

Rating: 
Amazon Price: N/A (as of September 19, 2017 21:09 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.