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An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing

Mobile crowdsensing (MCS) systems rely on the collective contribution of sensor data from numerous mobile devices carried by participants. However, the open and participatory nature of MCS renders these systems vulnerable to adversarial attacks or data poisoning attempts where threat actors can inje...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Nsikak Owoh, Jackie Riley, Moses Ashawa, Salaheddin Hosseinzadeh, Anand Philip, Jude Osamor
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2024-04-01
Rangatū:Sensors
Ngā marau:
Urunga tuihono:https://www.mdpi.com/1424-8220/24/7/2353
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