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A deep learning approach to predict the number of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e920"><mml:mi>k</mml:mi></mml:math>-barriers for intrusion detection over a circular region using wireless sensor networks

Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma

2022Expert Systems with Applications44 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceAdversaryArtificial intelligenceDeep learningRange (aeronautics)Intrusion detection systemWireless sensor networkArtificial neural networkTransmission (telecommunications)IntrusionGaussianMachine learningComputer securityTelecommunicationsComputer networkEngineeringPhysicsAerospace engineeringQuantum mechanicsGeochemistryGeologyNetwork Security and Intrusion DetectionEnergy Efficient Wireless Sensor NetworksSecurity in Wireless Sensor Networks
A deep learning approach to predict the number of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg" display="inline" id="d1e920"><mml:mi>k</mml:mi></mml:math>-barriers for intrusion detection over a circular region using wireless sensor networks | Litcius