Ebook: Applications of Data Mining in Computer Security
- Tags: Theory of Computation, Data Structures Cryptology and Information Theory, Management of Computing and Information Systems, Artificial Intelligence (incl. Robotics), Computer Communication Networks
- Series: Advances in Information Security 6
- Year: 2002
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security.
Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security.
Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security.
Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Content:
Front Matter....Pages i-xx
Modern Intrusion Detection, Data Mining, and Degrees of Attack Guilt....Pages 1-31
Data Mining for Intrusion Detection....Pages 33-62
An Architecture for Anomaly Detection....Pages 63-76
A Geometric Framework for Unsupervised Anomaly Detection....Pages 77-101
Fusing A Heterogeneous Alert Stream Into Scenarios....Pages 103-122
Using MIB II Variables for Network Intrusion Detection....Pages 123-151
Adaptive Model Generation....Pages 153-193
Proactive Intrusion Detection....Pages 195-227
E-Mail Authorship Attribution for Computer Forensics....Pages 229-250
Back Matter....Pages 251-252
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security.
Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Content:
Front Matter....Pages i-xx
Modern Intrusion Detection, Data Mining, and Degrees of Attack Guilt....Pages 1-31
Data Mining for Intrusion Detection....Pages 33-62
An Architecture for Anomaly Detection....Pages 63-76
A Geometric Framework for Unsupervised Anomaly Detection....Pages 77-101
Fusing A Heterogeneous Alert Stream Into Scenarios....Pages 103-122
Using MIB II Variables for Network Intrusion Detection....Pages 123-151
Adaptive Model Generation....Pages 153-193
Proactive Intrusion Detection....Pages 195-227
E-Mail Authorship Attribution for Computer Forensics....Pages 229-250
Back Matter....Pages 251-252
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