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Found 7 papers, 0 papers with code
Detecting Network Anomalies using Rule-based machine learning within SNMP-MIB dataset
In addition, PART classifier has succeeded in classifying normal traffic from different DOS attacks at 100%.
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality
In this paper, we introduce a novel idea capable of supporting the proper data source while avoiding the issues associated with the binary decision.
Networking and Internet Architecture Cryptography and Security
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques
Network security engineers work to keep services available all the time by handling intruder attacks.
Evaluation of Machine Learning Algorithms for Intrusion Detection System
The focus was on false negative and false positive performance metrics in order to enhance the detection rate of the intrusion detection system.
An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods
IDS is a set of software and/or hardware techniques used to detect hacker's activities in computer systems.
Enhancing Genetic Algorithms using Multi Mutations
Mutation is one of the most important stages of the genetic algorithm because of its impact on the exploration of global optima, and to overcome premature convergence.
On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric
We showed in this work how the Hassanat distance metric enhances the performance of the nearest neighbour classifiers.
