{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:10:42Z","timestamp":1780416642481,"version":"3.54.1"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003545","name":"Minist\u00e9rio da Ci\u00eancia, Tecnologia e Inova\u00e7\u00e3o","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003545","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006182","name":"Foundation for Research Support of Esp\u00edrito Santo","doi-asserted-by":"publisher","award":["2025-1H3FP"],"award-info":[{"award-number":["2025-1H3FP"]}],"id":[{"id":"10.13039\/501100006182","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006182","name":"Foundation for Research Support of Esp\u00edrito Santo","doi-asserted-by":"publisher","award":["2026-B74MN"],"award-info":[{"award-number":["2026-B74MN"]}],"id":[{"id":"10.13039\/501100006182","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006182","name":"Foundation for Research Support of Esp\u00edrito Santo","doi-asserted-by":"publisher","award":["2023-RWXSZ"],"award-info":[{"award-number":["2023-RWXSZ"]}],"id":[{"id":"10.13039\/501100006182","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010671","name":"Instituto Nacional de Ci\u00eancia e Tecnologia de Astrof\u00edsica","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010671","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"State of Sao Paulo Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Networks"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.comnet.2026.112303","type":"journal-article","created":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T07:42:18Z","timestamp":1775634138000},"page":"112303","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Building realistic cybersecurity datasets through a edge cloud testbed with cost-aware monitoring"],"prefix":"10.1016","volume":"282","author":[{"given":"Willen Borges","family":"Coelho","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7612-9650","authenticated-orcid":false,"given":"Giovanni Ventorim","family":"Comarela","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodolfo Vieira","family":"Valentim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Idilio","family":"Drago","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8051-3978","authenticated-orcid":false,"given":"Rodolfo da Silva","family":"Villa\u00e7a","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.comnet.2026.112303_b1","doi-asserted-by":"crossref","first-page":"2128","DOI":"10.1109\/TSE.2021.3052177","article-title":"A survey on the adoption of patterns for engineering software for the cloud","volume":"48","author":"Sousa","year":"2022","journal-title":"IEEE Trans. Softw. Eng."},{"issue":"1","key":"10.1016\/j.comnet.2026.112303_b2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/JPROC.2024.3353855","article-title":"Cloud-native computing: A survey from the perspective of services","volume":"112","author":"Deng","year":"2024","journal-title":"Proc. IEEE"},{"issue":"3","key":"10.1016\/j.comnet.2026.112303_b3","doi-asserted-by":"crossref","DOI":"10.1007\/s42979-025-03712-z","article-title":"Enhancing the kubernetes platform with a load-aware orchestration strategy","volume":"6","author":"Marchese","year":"2025","journal-title":"SN Comput. Sci."},{"key":"10.1016\/j.comnet.2026.112303_b4","series-title":"2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security","first-page":"145","article-title":"Detecting SQL injection attacks in cloud saas using machine learning","author":"Tripathy","year":"2020"},{"key":"10.1016\/j.comnet.2026.112303_b5","doi-asserted-by":"crossref","first-page":"182004","DOI":"10.1109\/ACCESS.2019.2960449","article-title":"A survey of exploitation and detection methods of XSS vulnerabilities","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.comnet.2026.112303_b6","series-title":"Report on ddos attacks in Q3 2022 \u2014 securelist","author":"Kupreev","year":"2022"},{"key":"10.1016\/j.comnet.2026.112303_b7","first-page":"303","article-title":"Tor: The second-generation onion router","volume":"vol. 4","author":"Dingledine","year":"2004"},{"issue":"8","key":"10.1016\/j.comnet.2026.112303_b8","doi-asserted-by":"crossref","DOI":"10.3390\/fi10080076","article-title":"SCADA system testbed for cybersecurity research using machine learning approach","volume":"10","author":"Teixeira","year":"2018","journal-title":"Futur. Internet"},{"key":"10.1016\/j.comnet.2026.112303_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.adhoc.2025.103840","article-title":"IoT-CAD: A comprehensive digital forensics dataset for AI-based cyberattack attribution detection methods in IoT environments","volume":"174","author":"Mohamed","year":"2025","journal-title":"Ad Hoc Networks"},{"issue":"8","key":"10.1016\/j.comnet.2026.112303_b10","first-page":"5572","article-title":"A new threat intelligence scheme for safeguarding industry 4.0 systems","volume":"17","author":"Moustafa","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.comnet.2026.112303_b11","series-title":"13th USENIX Workshop on Cyber Security Experimentation and Test","article-title":"HAI 1.0: HIL-based augmented ICS security dataset","author":"Shin","year":"2020"},{"key":"10.1016\/j.comnet.2026.112303_b12","series-title":"2024 IEEE 13th International Conference on Cloud Networking","first-page":"1","article-title":"Early detection and classification of malicious activities in network and cloud services","author":"Coelho","year":"2024"},{"key":"10.1016\/j.comnet.2026.112303_b13","article-title":"Holoscope: Lightweight distributed telescope & honeypot platform","author":"Sordello","year":"2025","journal-title":"IEEE Commun. Mag."},{"key":"10.1016\/j.comnet.2026.112303_b14","series-title":"Int. Conference on Information Systems Security and Privacy","first-page":"253","article-title":"Characterization of tor traffic using time based features","author":"Habibi Lashkari","year":"2017"},{"key":"10.1016\/j.comnet.2026.112303_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123667","article-title":"Analysis and comparison of feature selection methods towards performance and stability","volume":"249","author":"Barbieri","year":"2024","journal-title":"Expert Syst. Appl."},{"issue":"7","key":"10.1016\/j.comnet.2026.112303_b16","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1145\/362686.362692","article-title":"Space\/time trade-offs in hash coding with allowable errors","volume":"13","author":"Bloom","year":"1970","journal-title":"Commun. ACM"},{"key":"10.1016\/j.comnet.2026.112303_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.comnet.2025.111364","article-title":"P4-assisted slowloris DDoS attack detection in IoT environments by using ML and DL","volume":"267","author":"Ramirez-Martinez","year":"2025","journal-title":"Comput. Netw."},{"issue":"1","key":"10.1016\/j.comnet.2026.112303_b18","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1186\/s42400-025-00372-7","article-title":"Shadowkube: enhancing kubernetes security with behavioral monitoring and honeypot integration","volume":"8","author":"Chen","year":"2025","journal-title":"Cybersecurity"},{"issue":"3","key":"10.1016\/j.comnet.2026.112303_b19","first-page":"3637","article-title":"Network traffic synthesis and simulation framework for cybersecurity exercise systems","volume":"80","author":"Kim","year":"2024","journal-title":"Comput. Mater. Contin."},{"key":"10.1016\/j.comnet.2026.112303_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2024.111192","article-title":"Developing a comprehensive bacnet attack dataset: A step towards improved cybersecurity in building automation systems","volume":"57","author":"Moosavi","year":"2024","journal-title":"Data Brief"},{"key":"10.1016\/j.comnet.2026.112303_b21","article-title":"Efficient federated transfer learning-based network anomaly detection for cooperative smart farming infrastructure","volume":"10","author":"Praharaj","year":"2025","journal-title":"Smart Agric. Technol."},{"key":"10.1016\/j.comnet.2026.112303_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijcip.2024.100674","article-title":"ResNet50-1D-CNN: A new lightweight resnet50-one-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems","volume":"45","author":"Saheed","year":"2024","journal-title":"Int. J. Crit. Infrastruct. Prot."},{"key":"10.1016\/j.comnet.2026.112303_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2024.111153","article-title":"A dataset to train intrusion detection systems based on machine learning models for electrical substations","volume":"57","author":"Guti\u00e9rrez Mlot","year":"2024","journal-title":"Data Brief"},{"key":"10.1016\/j.comnet.2026.112303_b24","series-title":"2020 International Conference on Computing and Information Technology","first-page":"1","article-title":"Lightweight testbed for cybersecurity experiments in SCADA-based systems","author":"Khan","year":"2020"},{"key":"10.1016\/j.comnet.2026.112303_b25","series-title":"2024 Cyber Awareness and Research Symposium","first-page":"1","article-title":"Anomaly detection in air-gapped industrial control systems of nuclear power plants","author":"Thiyagarajan","year":"2024"},{"key":"10.1016\/j.comnet.2026.112303_b26","doi-asserted-by":"crossref","first-page":"121325","DOI":"10.1109\/ACCESS.2023.3327922","article-title":"Autonomous federated learning for distributed intrusion detection systems in public networks","volume":"11","author":"Mahmoodi","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.comnet.2026.112303_b27","doi-asserted-by":"crossref","DOI":"10.1016\/j.comnet.2025.111330","article-title":"SIEVE: Generating a cybersecurity log dataset collection for SIEM event classification","volume":"266","author":"Artioli","year":"2025","journal-title":"Comput. Netw."},{"key":"10.1016\/j.comnet.2026.112303_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.cose.2023.103631","article-title":"Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security","volume":"137","author":"Wurzenberger","year":"2024","journal-title":"Comput. Secur."},{"key":"10.1016\/j.comnet.2026.112303_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.cose.2019.101636","article-title":"Cyber ranges and security testbeds: Scenarios, functions, tools and architecture","volume":"88","author":"Yamin","year":"2020","journal-title":"Comput. Secur."},{"key":"10.1016\/j.comnet.2026.112303_b30","series-title":"2025 5th International Symposium on Computer Technology and Information Science","first-page":"167","article-title":"Anomaly detection and early warning mechanism for intelligent monitoring systems in multi-cloud environments based on LLM","author":"Jin","year":"2025"},{"key":"10.1016\/j.comnet.2026.112303_b31","series-title":"2023 International Conference on Sustainable Communication Networks and Application","first-page":"209","article-title":"Cyber threat monitoring and incident response with IntelliWatch SIEM","author":"Fredrick","year":"2023"},{"key":"10.1016\/j.comnet.2026.112303_b32","series-title":"2024 8th International Conference on Electronics, Communication and Aerospace Technology","first-page":"692","article-title":"Enhancing cloud security through log aggregation and real-time alerts","author":"Sujan","year":"2024"},{"key":"10.1016\/j.comnet.2026.112303_b33","series-title":"2025 IEEE 22nd International Conference on Software Architecture Companion","first-page":"182","article-title":"Continuous observability assurance in cloud-native applications","author":"Borges","year":"2025"},{"key":"10.1016\/j.comnet.2026.112303_b34","series-title":"Service-Oriented Computing","first-page":"181","article-title":"An empirical evaluation of the energy and performance overhead of monitoring tools on docker-based systems","author":"Dinga","year":"2023"},{"key":"10.1016\/j.comnet.2026.112303_b35","doi-asserted-by":"crossref","DOI":"10.1016\/j.epsr.2024.111361","article-title":"Optimal multi-type sensor placement using hybrid graph theory and numerical observability analysis for system observability and cybersecurity enhancement","volume":"241","author":"Elsayed","year":"2025","journal-title":"Electr. Power Syst. Res."},{"key":"10.1016\/j.comnet.2026.112303_b36","series-title":"12th Symposium on Software Performance","first-page":"1","article-title":"Overhead comparison of OpenTelemetry, inspectit and kieker","volume":"vol. 3043","author":"Reichelt","year":"2021"},{"key":"10.1016\/j.comnet.2026.112303_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.comnet.2024.110493","article-title":"Reinterpreting usability of semantic segmentation approach for darknet traffic analysis","volume":"249","author":"Mezina","year":"2024","journal-title":"Comput. Netw."},{"key":"10.1016\/j.comnet.2026.112303_b38","series-title":"2022 7th International Conference on Computer Science and Engineering","first-page":"374","article-title":"Darknet traffic classification with machine learning algorithms and SMOTE method","author":"Karag\u00f6l","year":"2022"},{"issue":"4","key":"10.1016\/j.comnet.2026.112303_b39","doi-asserted-by":"crossref","DOI":"10.3390\/electronics11040556","article-title":"Machine-learning-based darknet traffic detection system for IoT applications","volume":"11","author":"Abu Al-Haija","year":"2022","journal-title":"Electronics"},{"key":"10.1016\/j.comnet.2026.112303_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.comnet.2025.111327","article-title":"SMASH: An SDN-mtd framework for efficient honeypot deployment and insider threat mitigation","volume":"269","author":"d\u2019Ambrosio","year":"2025","journal-title":"Comput. Netw."},{"issue":"4","key":"10.1016\/j.comnet.2026.112303_b41","doi-asserted-by":"crossref","first-page":"5012","DOI":"10.1109\/TNSM.2023.3267671","article-title":"Enlightening the darknets: Augmenting darknet visibility with active probes","volume":"20","author":"Soro","year":"2023","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"10.1016\/j.comnet.2026.112303_b42","series-title":"2021 IEEE International Conference on Blockchain","first-page":"440","article-title":"Analysis of attack activities for honeypots installation in ethereum network","author":"Chin","year":"2021"},{"issue":"4","key":"10.1016\/j.comnet.2026.112303_b43","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/MC.2025.3531364","article-title":"Unveiling IoT threats: A case study on darknet and honeypot analysis","volume":"58","author":"Nakao","year":"2025","journal-title":"Computer"},{"key":"10.1016\/j.comnet.2026.112303_b44","article-title":"Dataset construction challenges for digital forensics","volume":"38","author":"Horsman","year":"2021","journal-title":"Forensic Sci. Int.: Digit. Investig."},{"key":"10.1016\/j.comnet.2026.112303_b45","series-title":"NOMS 2023-2023 IEEE\/IFIP Network Operations and Management Symposium","first-page":"1","article-title":"A scalable cyber security framework for the experimentation of ddos attacks of things","author":"Gemmer","year":"2023"},{"key":"10.1016\/j.comnet.2026.112303_b46","series-title":"Algorithms and Architectures for Parallel Processing","first-page":"560","article-title":"Anomaly detection and diagnosis for container-based microservices with performance monitoring","author":"Du","year":"2018"},{"key":"10.1016\/j.comnet.2026.112303_b47","series-title":"2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems","first-page":"565","article-title":"Observability in kubernetes cluster: Automatic anomalies detection using prometheus","author":"Mart","year":"2020"},{"key":"10.1016\/j.comnet.2026.112303_b48","series-title":"Proceedings of the ACM Symposium on Cloud Computing","first-page":"412","article-title":"Characterizing microservice dependency and performance: Alibaba trace analysis","author":"Luo","year":"2021"},{"key":"10.1016\/j.comnet.2026.112303_b49","series-title":"Enhancing kubernetes resilience through anomaly detection and prediction","author":"Anemogiannis","year":"2025"},{"issue":"5","key":"10.1016\/j.comnet.2026.112303_b50","article-title":"KubAnomaly: Anomaly detection for the docker orchestration platform with neural network approaches","volume":"1","author":"Tien","year":"2019","journal-title":"Eng. Rep."},{"key":"10.1016\/j.comnet.2026.112303_b51","doi-asserted-by":"crossref","first-page":"110742","DOI":"10.1109\/ACCESS.2022.3216080","article-title":"Detection of cluster anomalies with ML techniques","volume":"10","author":"Kosi\u0144ska","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.comnet.2026.112303_b52","series-title":"2023 IEEE Security and Privacy Workshops","first-page":"1","article-title":"HoneyKube: Designing and deploying a microservices-based web honeypot","author":"Gupta","year":"2023"},{"key":"10.1016\/j.comnet.2026.112303_b53","series-title":"Proceedings of the 4th International Conference on Information Systems Security and Privacy","first-page":"108","article-title":"Toward generating a new intrusion detection dataset and intrusion traffic characterization","author":"Sharafaldin","year":"2018"},{"key":"10.1016\/j.comnet.2026.112303_b54","series-title":"2015 Military Communications and Information Systems Conference","first-page":"1","article-title":"UNSW-NB15: A comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)","author":"Moustafa","year":"2015"},{"key":"10.1016\/j.comnet.2026.112303_b55","series-title":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","first-page":"1","article-title":"A detailed analysis of the KDD cup 99 data set","author":"Tavallaee","year":"2009"},{"issue":"3","key":"10.1016\/j.comnet.2026.112303_b56","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.cose.2011.12.012","article-title":"Toward developing a systematic approach to generate benchmark datasets for intrusion detection","volume":"31","author":"Shiravi","year":"2012","journal-title":"Comput. Secur."},{"key":"10.1016\/j.comnet.2026.112303_b57","series-title":"2019 International Carnahan Conference on Security Technology","first-page":"1","article-title":"Developing realistic distributed denial of service (ddos) attack dataset and taxonomy","author":"Sharafaldin","year":"2019"},{"key":"10.1016\/j.comnet.2026.112303_b58","series-title":"CIC-Bell-DNS-EXF Dataset: A New Dataset for DNS Exfiltration Detection","author":"Lashkari","year":"2021"},{"issue":"2","key":"10.1016\/j.comnet.2026.112303_b59","doi-asserted-by":"crossref","first-page":"383","DOI":"10.52953\/FPLR8631","article-title":"A Kubernetes dataset for misuse detection","volume":"4","author":"Sever","year":"2023","journal-title":"ITU J. Futur. Evol. Technol."},{"key":"10.1016\/j.comnet.2026.112303_b60","first-page":"1","article-title":"Beth dataset: Real cybersecurity data for unsupervised anomaly detection research","volume":"vol. 3095","author":"Highnam","year":"2021"},{"key":"10.1016\/j.comnet.2026.112303_b61","series-title":"Pod-level labelled resource utilization dataset for intrusion detection in kubernetes","author":"Verma","year":"2025"},{"issue":"5","key":"10.1016\/j.comnet.2026.112303_b62","doi-asserted-by":"crossref","first-page":"3165","DOI":"10.1109\/COMST.2024.3504955","article-title":"A survey on explainable artificial intelligence for internet traffic classification and prediction, and intrusion detection","volume":"27","author":"Nascita","year":"2025","journal-title":"IEEE Commun. Surv. Tutor."}],"container-title":["Computer Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1389128626003154?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1389128626003154?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T15:51:39Z","timestamp":1780415499000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1389128626003154"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":62,"alternative-id":["S1389128626003154"],"URL":"https:\/\/doi.org\/10.1016\/j.comnet.2026.112303","relation":{},"ISSN":["1389-1286"],"issn-type":[{"value":"1389-1286","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Building realistic cybersecurity datasets through a edge cloud testbed with cost-aware monitoring","name":"articletitle","label":"Article Title"},{"value":"Computer Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.comnet.2026.112303","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"112303"}}