Understanding Intrusion Detection through Visualization Understanding Intrusion Detection through Visualization
Advances in Information Security

Understanding Intrusion Detection through Visualization

Stefan Axelsson & David Sands
    • $129.99
    • $129.99

Publisher Description

With the ever increasing use of computers for critical systems, computer security that protects data and computer systems from intentional, malicious intervention, continues to attract significant attention. Among the methods for defense, the application of a tool to help the operator identify ongoing or already perpetrated attacks (intrusion detection), has been the subject of considerable research in the past ten years. A key problem with current intrusion detection systems is the high number of false alarms they produce.

Understanding Intrusion Detection through Visualization presents research on why false alarms are, and will remain a problem; then applies results from the field of information visualization to the problem of intrusion detection. This approach promises to enable the operator to identify false (and true) alarms, while aiding the operator to identify other operational characteristics of intrusion detection systems. This volume presents four different visualization approaches, mainly applied to data from web server access logs.

Understanding Intrusion Detection through Visualization is structured for security professionals, researchers and practitioners. This book is also suitable for graduate students in computer science.

GENRE
Computers & Internet
RELEASED
2006
June 1
LANGUAGE
EN
English
LENGTH
165
Pages
PUBLISHER
Springer US
SELLER
Springer Nature B.V.
SIZE
3.5
MB

More Books Like This

Machine Learning and Data Mining for Computer Security Machine Learning and Data Mining for Computer Security
Machine Learning and Data Mining for Computer Security
2006
Managing Cyber Threats Managing Cyber Threats
Managing Cyber Threats
2006
Information Security Applications Information Security Applications
Information Security Applications
2014
Deployable Machine Learning for Security Defense Deployable Machine Learning for Security Defense
Deployable Machine Learning for Security Defense
2020
Detection of Intrusions and Malware, and Vulnerability Assessment Detection of Intrusions and Malware, and Vulnerability Assessment
Detection of Intrusions and Malware, and Vulnerability Assessment
2008
Data Analytics and Decision Support for Cybersecurity Data Analytics and Decision Support for Cybersecurity
Data Analytics and Decision Support for Cybersecurity
2017

Other Books in This Series

Identifying Malicious Code Through Reverse Engineering Identifying Malicious Code Through Reverse Engineering
Identifying Malicious Code Through Reverse Engineering
2009
Cyber-security of SCADA and Other Industrial Control Systems Cyber-security of SCADA and Other Industrial Control Systems
Cyber-security of SCADA and Other Industrial Control Systems
2016
Security for Telecommunications Networks Security for Telecommunications Networks
Security for Telecommunications Networks
2008
Data Warehousing and Data Mining Techniques for Cyber Security Data Warehousing and Data Mining Techniques for Cyber Security
Data Warehousing and Data Mining Techniques for Cyber Security
2007
Cyber Defense and Situational Awareness Cyber Defense and Situational Awareness
Cyber Defense and Situational Awareness
2015
Network Security Policies and Procedures Network Security Policies and Procedures
Network Security Policies and Procedures
2007