Applied Network Security Monitoring: Collection, Detection, and Analysis

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Applied Network Security Monitoring is the essential guide to becoming an NSM analyst from the ground up. This book takes a fundamental approach to NSM, complete with dozens of real-world examples that teach you the key concepts of NSM.

Network security monitoring is based on the principle that prevention eventually fails. In the current threat landscape, no matter how much you try, motivated attackers will eventually find their way into your network. At that point, it is your ability to detect and respond to that intrusion that can be the difference between a small incident and a major disaster.
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Network Security Through Data Analysis: Building Situational Awareness

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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to protect and improve it.

Divided into three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. It’s ideal for network administrators and operational security analysts familiar with scripting.Explore network, host, and service sensors for capturing security dataStore data traffic with relational databases, graph databases, Redis, and HadoopUse SiLK, the R language, and other tools for analysis and visualizationDetect unusual phenomena through Exploratory Data Analysis (EDA)Identify significant structures in networks with graph analysisDetermine the traffic that’s crossing service ports in a networkExamine traffic volume and behavior to spot DDoS and database raidsGet a step-by-step process for network mapping and inventory

Network Attacks and Exploitation: A Framework

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Amazon Price: $45.00 $30.44 You save: $14.56 (32%). (as of November 18, 2018 21:06 – 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.

Incorporate offense and defense for a more effective network security strategy
Network Attacks and Exploitation provides a clear, comprehensive roadmap for developing a complete offensive and defensive strategy to engage in or thwart hacking and computer espionage. Written by an expert in both government and corporate vulnerability and security operations, this guide helps you understand the principles of the space and look beyond the individual technologies of the moment to develop durable comprehensive solutions. Numerous real-world examples illustrate the offensive and defensive concepts at work, including Conficker, Stuxnet, the Target compromise, and more. You will find clear guidance toward strategy, tools, and implementation, with practical advice on blocking systematic computer espionage and the theft of information from governments, companies, and individuals.
Assaults and manipulation of computer networks are rampant around the world. One of the biggest challenges is fitting the ever-increasing amount of information into a whole plan or framework to develop the right strategies to thwart these attacks. This book clears the confusion by outlining the approaches that work, the tools that work, and resources needed to apply them. Understand the fundamental concepts of computer network exploitation Learn the nature and tools of systematic attacks Examine offensive strategy and how attackers will seek to maintain their advantage Understand defensive strategy, and how current approaches fail to change the strategic balance
Governments, criminals, companies, and individuals are all operating in a world without boundaries, where the laws, customs, and norms previously established over centuries are only beginning to take shape. Meanwhile computer espionage continues to grow in both frequency and impact. This book will help you mount a robust offense or a strategically sound defense against attacks and exploitation. For a clear roadmap to better network security, Network Attacks and Exploitation is your complete and practical guide.

Kismet Hacking

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Kismet is the industry standard for examining wireless network traffic, and is used by over 250,000 security professionals, wireless networking enthusiasts, and WarDriving hobbyists.

Unlike other wireless networking books that have been published in recent years that geared towards Windows users, Kismet Hacking is geared to those individuals that use the Linux operating system. People who use Linux and want to use wireless tools need to use Kismet. Now with the introduction of Kismet NewCore, they have a book that will answer all their questions about using this great tool. This book continues in the successful vein of books for wireless users such as WarDriving: Drive, Detect Defend.
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Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems)

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Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing-Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work-painstaking, critical, and forward-looking-readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.

* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.
* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.