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Network Security Through Data Analysis

Building Situational Awareness

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System and network administrators have traditionally monitored their systems through general tools such as intrusion detection and logfile analysis. But modern, complex networks, suffering from more and more sophisticated attacks, deserve more analytical tools. Michael Collins, a leading researcher in security, introduces the techniques needed in this book and highlights some of the computing tools that will help catch problems. The book is divided into three large sections: data collection, analysis, and taking action. These can be iterative, as each discovery alerts the administrator to data that should be collected. Several forms of analysis and visualization are covered. Topics include: What data to capture on your systems Data fusion Structures and storage systems for data Using R, SiLK, and Python for analysis Visualization and exploratory data analysis Graph analysis Network mapping Address forensics: determining where traffic originates Handling malware

Zakup książki

Network Security Through Data Analysis, Edgar Collins

Język
Rok wydania
2014
Oprawa
(miękka),
Stan książki
Dobry
Cena
62,99 zł

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Tytuł
Network Security Through Data Analysis
Podtytuł
Building Situational Awareness
Język
angielski
Wydawca
O'Reilly
Rok wydania
2014
Oprawa
miękka
Liczba stron
348
ISBN10
1449357903
ISBN13
9781449357900
Seria
Opis
System and network administrators have traditionally monitored their systems through general tools such as intrusion detection and logfile analysis. But modern, complex networks, suffering from more and more sophisticated attacks, deserve more analytical tools. Michael Collins, a leading researcher in security, introduces the techniques needed in this book and highlights some of the computing tools that will help catch problems. The book is divided into three large sections: data collection, analysis, and taking action. These can be iterative, as each discovery alerts the administrator to data that should be collected. Several forms of analysis and visualization are covered. Topics include: What data to capture on your systems Data fusion Structures and storage systems for data Using R, SiLK, and Python for analysis Visualization and exploratory data analysis Graph analysis Network mapping Address forensics: determining where traffic originates Handling malware