Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks

A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments

Cuzzocrea, Alfredo
2019-01-01

Abstract

Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks
2019
9781538668047
Deep learning
LSTM
Novelty detection
Recurrent Neural Network
Semi unsuperevised
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications1707 Computer Vision and Pattern Recognition
1707
Safety
Risk
Reliability and Quality
Signal Processing
Decision Sciences (miscellaneous)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/312814
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