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Cybersecurity Data across Heterogeneous Sources.
Figure 1 Illustration of Monitoring Heterogeneous Sources.
The Security data across heterogeneous sources section covers Security Data across Heterogeneous Sources.
As such, heterogeneous sources are enormously preferable to homogenous stacks, which is why we recommend against hardware-specific solutions.
Generally, KDD normalizes the data from heterogeneous sources and then collects it in data repository.
Figure 13 Measured QoS with heterogeneous sources in terms of bit rate.
This approach is especially relevant when dealing with data from a set of heterogeneous sources.
Current practices on interfacing heterogeneous sources and loads to microgrids and ships are discussed.
The authors also give examples of heterogeneous sources being used such as DSHIELD.
Figure 14 Measured QoS with heterogeneous sources in terms of delay requirement.
In one study, Fessi et al. [53] consider Intrusion Detection across heterogeneous sources.
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