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We need more skilled cybersecurity professionals because the number of cyber threats and ingenuity of attackers is ever growing. Knowledge and skills required for cyber defence can be developed and exercised by lectures and lab sessions, or by active learning, which is seen as a promising and attractive alternative. In this paper, we present experience gained from the preparation and execution of...
Analyzing IP flows is an essential part of traffic measurement for cyber security. Based on information from IP flows, it is possible to discover the majority of concurrent cyber threats in highspeed, large-scale networks. Some major prevailing challenges for IP flow analysis include, but are not limited to, analysis over a large volume of IP flows, scalability issues, and detecting cyber threats...
Modern distributed stream processing systems can potentially be applied to real time network flow processing. However, differences in performance make some systems more suitable than others for being applied to this domain. We propose a novel performance benchmark, which is based on common security analysis algorithms of NetFlow data to determine the suitability of distributed stream processing systems...
The use of stream processing for state monitoring of distributed infrastructures has been advocated by some in order to overcome the issues of traditional monitoring solutions when tasked with complex continuous queries. However, in the domain of behavior monitoring the situation gets more complicated. It is mainly because of the low-quality source of behavior-related monitoring information (natural...
Computer logs represent a valuable source of monitoring information being typically the only mechanism for gaining visibility into the behavior of monitored resources. However, even in modern cloud data centers the majority of logs is produced in an unstructured data format with free-form natural language messages carrying the most important portion of the information. This is source of many issues...
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