EFFECTS OF FEATURE SELECTION TECHNIQUES IN DETECTING GRAY HOLE ATTACKS IN AD-HOC WIRELESS SENSOR NETWORKS USING SUPERVISED MACHINE LEARNING ALGORITHMS

• Author(s):

  Navneet | Akash Deep | Anshul kalia

• Keywords:

  Machine Learning, Multi-classification, Intrusion Detection, WSN-DS Dataset..

• Abstract:

  Wireless Sensor Networks (WSNs) Have Become Immensely Popular Due To Their Simplicity, Low Cost, Ease Of Deployment, And Wide Application Area.WSNs Are A Group Of Tiny Autonomous Sensor-equipped Devices That Are Deployed In Physical Or Environmental Condi

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Other Details

• Paper id:

  IJSARTV8I1156908

• Published in:

  Volume: 8 Issue: 11 November 2022

• Publication Date:

  2022-11-07

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