Information systems security
Anomaly Detection in Embedded Systems
IEEE Transactions on Computers - Special issue on fault-tolerant embedded systems
Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint
Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint
Masquerade Detection Using Truncated Command Lines
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
"Why 6?" Defining the Operational Limits of Stide, an Anomaly-Based Intrusion Detector
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Using visual motifs to classify encrypted traffic
Proceedings of the 3rd international workshop on Visualization for computer security
LISA '05 Proceedings of the 19th conference on Large Installation System Administration Conference - Volume 19
Traffic classification using visual motifs: an empirical evaluation
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Neural visualization of network traffic data for intrusion detection
Applied Soft Computing
Testing CAB-IDS through mutations: on the identification of network scans
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Interactive visualization for network and port scan detection
RAID'05 Proceedings of the 8th international conference on Recent Advances in Intrusion Detection
MOVICAB-IDS: visual analysis of network traffic data streams for intrusion detection
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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The scatterplot continues to be one of the most useful tools for visualizing numeric data, however what we typically encounter in Computer Security is categorical and/or textual in nature, and how to convert it into a form where scatterplots apply is not always obvious. We outline some simple ideas for doing this and illustrate with two "real data" case studies: User Profiling and Network Traffic. In both cases the results can be quite surprising.