Modélisation formelle des systèmes de détection d'intrusions

The above proposal points to an approach that the system can use any data mining tool to detect anomalies, sub- ject to the accuracy and efficiency requirements, and then

The most important parameter is the level of the implanted He retention, i.e., the percentage of the atoms staying in the target relative to the number of the atoms implanted, as

Techniques such as complex pattern detection, event correlation, event aggregation, event mining and stream processing, have been used for composing events.. In some cases

If rule race conditions are detected, Xtend is used to generate two files: one containing the Graphviz graph with the result of the analysis, and another one with the Esper code

We present a smart home application of the PBuilder algorithm which uses a batch-free approach to mine sequential patterns of a real dataset collected from appliances.. Additionally,

After importing the hierarchical model in the ProM framework, we configure an event-stream with the following parameters: r max = 1, s max = ∞, e r = 50 ms., case identification =

At step j, the time Aj to next repair is exponential with rate Λj , the sum of repair rates of all links not yet repaired.. Theorem [Gertsback and

Existing SCEP query languages do not provide the required capabilities due to the following reasons: (i) they are based on the RDF triple stream data model, (ii) they provide a