By by Kalle Burbeck.
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Extra resources for Adaptive real-time anomaly detection for safeguarding critical networks
There are also the inevitable problems of hardware failures and software crashes. g. personal computing) within the patchwork that constitutes modern complex systems. This spread of commercial off-the-shelf hardware and software can also lead to a monoculture within which it is easy for malicious processes to spread. In case of failures, accidents as well as attacks, it is important that problems are detected and resolved as soon as possible to increase service availability, and avoid further escalation of the problem.
Another standard, the Agent Management specifications, introduces basic agent-platform concepts. 8. The platform can physically span multiple machines. The Directory Facilitator (DF) is a place where agents can register their services for other agents to search for. The facility is also often named ’yellow pages’ as in the phone book. 8: Reference architecture of a FIPA agent platform teraction protocols supported and the language used for conversations as well as arbitrary user defined services.
Producing a diagram with detection rate on the Y-axis and false positives rate on the X-axis, known as a ROC-curve, is an illustrative way of presenting this trade-off. 7 presents an example ROC curve. The form of the curve is typical for intrusion detection systems, where increasing false positives rates give diminishing returns in increasing detection rates. When performing intrusion detection, not only accuracy is important, but also time. Detection latency measures the time from the attack to detection.
Adaptive real-time anomaly detection for safeguarding critical networks by by Kalle Burbeck.