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Found 5 papers, 0 papers with code
Topic Modelling: Going Beyond Token Outputs
The output is commonly a set of topics consisting of isolated tokens that often co-occur in such documents.
Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection
Much research on dynamic analysis focused on investigating machine-level information (e. g., CPU, memory, network usage) to identify whether a machine is running malicious activities.
Federated Deep Learning for Intrusion Detection in IoT Networks
The comparison shows that the heterogeneous nature of the data has a considerable negative impact on the model's performance when trained in a distributed manner.
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars
This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real time intelligence in edge computing.
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
The proliferation and application of machine learning based Intrusion Detection Systems (IDS) have allowed for more flexibility and efficiency in the automated detection of cyber attacks in Industrial Control Systems (ICS).
