NeuroCAN: Contextual Anomaly Detection in Controller Area Networks

2020 ◽

Author(s):

Jerin Sunny ◽

Sriram Sankaran ◽

Vishal Saraswat

Keyword(s):

Anomaly Detection ◽

Hybrid Approach ◽

Controller Area Networks

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vProfile: Voltage-Based Anomaly Detection in Controller Area Networks

10.23919/date51398.2021.9474106 ◽

2021 ◽

Author(s):

Nathan Liu ◽

Carlos Moreno ◽

Murray Dunne ◽

Sebastian Fischmeister

Keyword(s):

Anomaly Detection ◽

Controller Area Networks

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Design of Anomaly Detection Functions for Controller Area Networks

IEEE Open Journal of Intelligent Transportation Systems ◽

10.1109/ojits.2021.3104495 ◽

2021 ◽

pp. 1-1

Author(s):

Vinayak Tanksale

Keyword(s):

Anomaly Detection ◽

Controller Area Networks

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Anomaly Detection for Controller Area Networks Using Long Short-Term Memory

IEEE Open Journal of Intelligent Transportation Systems ◽

10.1109/ojits.2020.3043066 ◽

2020 ◽

Vol 1 ◽

pp. 253-265

Author(s):

Vinayak Tanksale

Keyword(s):

Anomaly Detection ◽

Short Term Memory ◽

Short Term ◽

Term Memory ◽

Controller Area Networks ◽

Long Short Term Memory

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Anomaly Detection in Sensor Data

Journal of Applied Reliability ◽

10.33162/jar.2018.03.18.1.20 ◽

2018 ◽

Vol 18 (1) ◽

pp. 20-32 ◽

Cited By ~ 2

Author(s):

Jong-Min Kim ◽

Jaiwook Baik

Keyword(s):

Anomaly Detection ◽

Sensor Data

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An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.136.363 ◽

2016 ◽

Vol 136 (3) ◽

pp. 363-372

Author(s):

Takaaki Nakamura ◽

Makoto Imamura ◽

Masashi Tatedoko ◽

Norio Hirai

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Time Series Data ◽

Detection Method ◽

Series Data

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Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

IEEJ Transactions on Fundamentals and Materials ◽

10.1541/ieejfms.135.749 ◽

2015 ◽

Vol 135 (12) ◽

pp. 749-755

Author(s):

Taiyo Matsumura ◽

Ippei Kamihira ◽

Katsuma Ito ◽

Takashi Ono

Keyword(s):

Anomaly Detection ◽

Detection Method ◽

Multiple Sensors

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Large-Scale Data Learning Method for Anomaly Detection using Machine Learning for Monitoring Vibration in Vehicle Equipment

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.140.480 ◽

2020 ◽

Vol 140 (6) ◽

pp. 480-487

Author(s):

Minoru Kondo

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Large Scale ◽

Learning Method ◽

Large Scale Data ◽

Scale Data

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CKMSA: an Anomaly Detection Process Based on K-Means and Simulated Annealing Algorithms

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i4.9552 ◽

2016 ◽

Vol 11 (4) ◽

pp. 373

Author(s):

Hamza Kamal Idrissi ◽

Zaid Kartit ◽

Ali Kartit ◽

Mohamed El Marraki

Keyword(s):

Simulated Annealing ◽

Anomaly Detection ◽

Detection Process ◽

Annealing Algorithms

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CKMSA: an Anomaly Detection Process Based on K-Means and Simulated Annealing Algorithms

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i1.8272 ◽

2016 ◽

Vol 11 (1) ◽

pp. 42 ◽

Cited By ~ 2

Author(s):

Hamza Kamal Idrissi ◽

Zaid Kartit ◽

Ali Kartit ◽

Mohamed El Marraki

Keyword(s):

Simulated Annealing ◽

Anomaly Detection ◽

Detection Process ◽

Annealing Algorithms

Download Full-text

NeuroCAN: Contextual Anomaly Detection in Controller Area Networks

A Hybrid Approach for Fast Anomaly Detection in Controller Area Networks

vProfile: Voltage-Based Anomaly Detection in Controller Area Networks

Design of Anomaly Detection Functions for Controller Area Networks

Anomaly Detection for Controller Area Networks Using Long Short-Term Memory

Anomaly Detection in Sensor Data

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

Large-Scale Data Learning Method for Anomaly Detection using Machine Learning for Monitoring Vibration in Vehicle Equipment

CKMSA: an Anomaly Detection Process Based on K-Means and Simulated Annealing Algorithms

CKMSA: an Anomaly Detection Process Based on K-Means and Simulated Annealing Algorithms

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