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Found 7 papers, 1 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.
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.
Scmhl5 at TRAC-2 Shared Task on Aggression Identification: Bert Based Ensemble Learning Approach
This paper presents a system developed during our participation (team name: scmhl5) in the TRAC-2 Shared Task on aggression identification.
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).
The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings
Offensive or antagonistic language targeted at individuals and social groups based on their personal characteristics (also known as cyber hate speech or cyberhate) has been frequently posted and widely circulated viathe World Wide Web.
Early Stage Malware Prediction Using Recurrent Neural Networks
Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted quickly by examining the features of an executable piece of code and matching it to previously observed malicious code.
Cryptography and Security
