A review of current machine learning approaches for anomaly detection in network traffic
WA Ali, KN Manasa, M Bendechache… - … and the Digital …, 2020 - search.informit.org
Due to the advance in network technologies, the number of network users is growing rapidly,
which leads to the generation of large network traffic data. This large network traffic data is …
which leads to the generation of large network traffic data. This large network traffic data is …
Towards privacy-anomaly detection: Discovering correlation between privacy and security-anomalies
MI Khan, SN Foley, B O'Sullivan - Procedia Computer Science, 2020 - Elsevier
In this paper a notion of privacy-anomaly detection is presented where normative privacy is
modelled using k-anonymity. Based on the model, normative privacy-profiles are …
modelled using k-anonymity. Based on the model, normative privacy-profiles are …
On the detection of privacy and security anomalies
MI Khan - 2020 - cora.ucc.ie
Data analytics over generated personal data has the potential to derive meaningful insights
to enable clarity of trends and predictions, for instance, disease outbreak prediction as well …
to enable clarity of trends and predictions, for instance, disease outbreak prediction as well …