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Found 4 papers, 1 papers with code
Towards Explainable Meta-Learning for DDoS Detection
With the ever increasing of new intrusions, intrusion detection task rely on Artificial Intelligence more and more.
SeaNet -- Towards A Knowledge Graph Based Autonomic Management of Software Defined Networks
Driven by the ToCo ontology, SeaNet is reprogrammed based on Mininet (a SDN emulator).
Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection -- An Analysis on CIC-AWS-2018 dataset
We argue that with the statistical data collected from CICFlowMeter, simple machine learning models such as the decision tree classification could be able to take charge in detecting Zero-Day attacks.
Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams
In this paper a methodology is illustrated to detect such incidents immediately (with the delay in the order of milliseconds), by processing semantically annotated streams of data in cellular telecommunication systems.
Computers and Society Networking and Internet Architecture
