Anomaly Detectors for Self-Aware Edge and IoT Devices-Reference-Cited by-同舟云学术

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Anomaly Detectors for Self-Aware Edge and IoT Devices

Published:2023-10-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS)
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Author:

Zoppi Tommaso¹,Merlino Giovanni²,Ceccarelli Andrea³,Puliafito Antonio²,Bondavalli Andrea³

Affiliation:

1. University of Trento,Department of Information Engineering & Computer Science, Via Sommarive 9,Povo,IT

2. via Salita Larderia,SmartMe.io,Messina,IT,98129

3. University of Florence,Department of Mathematics and Informatics, Viale Morgagni 65,Florence,IT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366457/10366528/10366684.pdf?arnumber=10366684

Reference60 articles.

1. Dos and don’ts of machine learning in computer security;Arp

2. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

3. Redis in action;Carlson;Simon and Schuster,2013

4. Machine Learning at the Network Edge: A Survey

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