Chaotic metaheuristics with multi-spiking neural network based cloud intrusion detection

HIGHLIGHTS

  • who: CMC and colleagues from the Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia have published the research: Chaotic Metaheuristics with Multi-Spiking Neural Network Based Cloud Intrusion Detection, in the Journal: (JOURNAL)
  • what: In this study a Chaotic Metaheuristics with Optimal MultiSpiking Neural Network-based (CMOMSNN-ID) model is proposed to secure the cloud environment. In this study, both abnormal and normal data were analysed by the FLS method, whereas it was trained with the help of the Grey Wolf Optimization (GWO) method to maximize the . . .

     

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