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Network anomaly detection based on WaveNet
(Springer, 2019)
Increasing amount of attacks and intrusions against networked systems and data networks requires sensor capability. Data in modern networks, including the Internet, is often encrypted, making classical traffic analysis ...
Measuring Learning in a Cyber Security Exercise
(Association for Computing Machinery, 2020)
In recent years, cyber security exercises have established themselves as an integral part of cyber security education. Cyber security professionals usually work as a part of a team that monitors and responds to incidents ...
Pedagogical aspects of cyber security exercises
(Institute of Electrical and Electronics Engineers IEEE, 2019)
Cyber security exercises (CSE) are complex learning experiences aimed at developing expert knowledge and competence through simulation. In this paper we examine pedagogical issues relating to CES, from exercise design to ...
Blue team communication and reporting for enhancing situational awareness from white team perspective in cyber security exercises
(Springer, 2018)
Cyber security exercises allow individuals and organisations to train and test their skills in complex cyber attack situations. In order to effectively organise and conduct such exercise, the exercise control team must ...
Statistical evaluation of artificial intelligence -based intrusion detection system
(Springer, 2020)
Training neural networks with captured real-world network data may fail to ascertain whether or not the network architecture is capable of learning the types of correlations expected to be present in real data.
In this ...
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer
(Association for computing machinery, 2021)
Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection. If an attacker can manipulate the automated processing, the results can be devastating and in the worst case ...