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Network Security Through Data Analysis

Building Situational Awareness

Autor*innen

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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

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Network Security Through Data Analysis, Edgar Collins

Sprache
Erscheinungsdatum
2014
Einband
(Paperback),
Buchzustand
Gebraucht - Gut
Preis
€ 15,99

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Titel
Network Security Through Data Analysis
Untertitel
Building Situational Awareness
Sprache
Englisch
Autor*innen
Edgar Collins
Erscheinungsdatum
2014
Einband
Paperback
Seitenzahl
348
ISBN10
1449357903
ISBN13
9781449357900
Reihe
Beschreibung
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