Efficient approach for anomaly detection in iot using system calls

HIGHLIGHTS

• who: Nouman Shamim et al. from the Department of Computer Science, National University of Computer and Emerging Sciences, School of Architecture, Technology and Engineering, The University of Brighton, Brighton , GJ, UK have published the research work: Efficient Approach for Anomaly Detection in IoT Using System Calls, in the Journal: Sensors 2023, 23, 652. of /2023/
• what: The authors propose a host-based anomaly detection approach that uses system call data and a Markov chain to represent normal behavior. To address these issues, the authors propose a simple and lightweight anomaly detection approach that dynamically determines . . .
  

   

  

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