Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference-Reference-Cited by-同舟云学术

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Poster: Understanding and Managing Changes in IoT Device Behaviors for Reliable Network Traffic Inference

Published:2024-08-04 Issue: Volume:60 Page:25-27
ISSN:
Container-title:Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos
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Author:

Azizi Shayan¹^ORCID,Okui Norihiro²^ORCID,Nakahara Masataka²^ORCID,Kubota Ayumu²^ORCID,Batista Gustavo¹^ORCID,Gharakheili Hassan Habibi¹^ORCID

Affiliation:

1. UNSW Sydney, Sydney, Australia

2. KDDI Research, Inc., Saitama, Japan

Funder

KDDI Research Inc.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3672202.3673723

Reference25 articles.

1. What is YAF? https://tools.netsa.cert.org/yaf/. Accessed: 2024-05.

2. Gregory Ditzler and Robi Polikar. Hellinger Distance Based Drift Detection for Nonstationary Environments. In Proc. IEEE CIDUE, Paris, France, Apr 2011.

3. João Gama, Indré Žliobaité, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. A Survey on Concept Drift Adaptation. ACM CSUR, 46(4), 2014.

4. Igor Goldenberg and Geoffrey I. Webb. Survey of Distance Measures for Quantifying Concept Drift and Shift in Numeric Data. KIS, 60:591 -- 615, 2018.

5. Jorge Luis Guerra, Carlos Catania, and Eduardo Veas. Datasets Are Not Enough: Challenges in Labeling Network Traffic. Elsevier COSE, 120(C), 2022.

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