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Malicious network intrusions which exfiltrate data from computer networks are extremely damaging for organisations and governments worldwide. Combating these network intrusions and large-scale cyber-attacks requires mining and analysis of large volumes of computer network data. We present a statistical filtering and temporal PageRank technique that improves the probability of discovering network intrusions...
In order to monitor large enterprise networks, network monitoring data is often gathered from a wide range of sensor locations across the network. However, such activities create bottlenecks for existing network applications traffic flows. Network data collected at remote sensor sites must be transmitted to the central network monitoring station efficiently. The solution presented in this paper involves...
Genetic evolutionary algorithms are effective and optimal test generation methods. However, the methods to select the algorithm parameters are often ad hoc, relying on empirical data. We used a Markov-based method to model the genetic evolutionary test generation process, parameterise the process characteristics, and derive analytical solutions for selecting the optimisation parameters. The method...
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