Fan Li’s scientific contributions

What is this page?

This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)

Hybrid Neural Network Intrusion Detection System Using Genetic Algorithm
  • Article

October 2010

·

122 Reads

·

108 Citations

Fan Li

In this paper, we introduce an Intrusion Detection system (IDS) based Hybrid Evolutionary Neural Network (HENN). A brief overview of IDS, genetic algorithm, and related detection techniques are discussed. The system architecture is also introduced. Factors affecting the genetic algorithm are addressed in detail. Unlike other implementations of IDS, Input features, network structure and connection weights are evolved using genetic algorithm in HENN. This is helpful for identification of complex anomalous behaviors. Experimental results show that the proposed IDS can efficiently improve the detection rate and correctness rate.

Citations (1)

... In order to optimize feature selection, network structures, and parameter optimization, Hybrid NNIDSs frequently implement evolutionary algorithms, including genetic algorithms. These techniques are employed by Hybrid Evolutionary Neural Networks (HENNs) to dynamically adjust to changing threats [42]. Multiple classifiers are combined in ensemble approaches to improve accuracy and robustness in detecting intricate attack patterns [43,44]. ...

Reference:

Hybrid Neural Network-Based Intrusion Detection System: Leveraging LightGBM and MobileNetV2 for IoT Security
Hybrid Neural Network Intrusion Detection System Using Genetic Algorithm
  • Citing Article

  • October 2010

Fan Li