Micro2vec: Anomaly detection in microservices systems by mining numeric representations of computer logs-Reference-Cited by-同舟云学术

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Micro2vec: Anomaly detection in microservices systems by mining numeric representations of computer logs

Published:2022-12 Issue: Volume:208 Page:103515
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Cinque Marcello,Della Corte Raffaele^ORCID,Pecchia Antonio

Funder

H2020 Marie Skłodowska-Curie Actions

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference78 articles.

1. Automated DDOS attack detection in software defined networking;Ahuja;J. Netw. Comput. Appl.,2021

2. Predicting quality flaws in user-generated content: The case of wikipedia;Anderka,2012

3. Bakar, N., Belaton, B., Samsudin, A., 2005. False positives reduction via intrusion alert quality framework. In: 2005 13th IEEE Intl. Conference on Networks Jointly Held with the 2005 IEEE 7th Malaysia Intl. Conference on Communications. p. 6.

4. RADS: Real-time anomaly detection system for cloud data centres;Barbhuiya,2018

5. DevOps: A Software Architect’s Perspective;Bass,2015

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1. Detection of quality of service degradation on multi-tenant containerized services;Journal of Network and Computer Applications;2024-04

2. Network shortcut in data plane of service mesh with eBPF;Journal of Network and Computer Applications;2024-02

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