Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Special issue on real‐time behavioral monitoring in IoT applications using big data analytics

Jeon Gwanggil, Abdellah Chehri, Cuomo Salvatore, Din Sadia et Jabbar Sohail. (2021). Special issue on real‐time behavioral monitoring in IoT applications using big data analytics. Concurrency and Computation: Practice and Experience, 33, (4), e5529.

[img]
Prévisualisation
PDF - Version publiée
Disponible sous licence Creative Commons Attribution (CC-BY 2.5).

409kB

URL officielle: http://dx.doi.org/10.1002/cpe.5529

Résumé

Real-time social multimedia level threat monitoring is becoming harder, due to higher and rapidly increasing data induction. Data induction through electric smart devices is greater compared to information processing capacity. Nowadays, data becomes humongous even coming from the single source. Therefore, when data emanates from all heterogeneous sources distributed over the globe makes data magnitude harder to process up to a needed scale. Big data and Deep learning have become standard in providing well-known solutions built-up using algorithms and techniques in resolving data matching issues. Now, with the involvement of sensors and automation in generating data obscures everything, predicting results to overcome a current era of ever enhancing demands and getting real-time visualization brings the need of feature like human behavior mode extraction to overcome any future threats. Big data analytics can bring the opportunity of predicting any misfortune even before they happen. Map reduce feature of big data supports massive data oriented process execution using distributed processing. Real-time human feature identification and detection can occur through sensors and internet sources. A behavioral prediction can further classify the information collected for introducing enhanced security extents. Real-time sensor devices are producing 24/7-hour data for further processing recording each event. IoT-based sensors can support in behavioral analysis model of a human. Real-time human behavioral monitoring based on image processing and IoT using big data analytics.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1532-0626
Volume:33
Numéro:4
Pages:e5529
Version évaluée par les pairs:Oui
Date:2021
Identifiant unique:10.1002/cpe.5529
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie informatique et génie logiciel
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Mots-clés:IoT, real-time behavioral monitoring, big data analytics, surveillance comportementale en temps réel, Internet des objets, analyses de données volumineuses
Déposé le:20 avr. 2022 14:00
Dernière modification:20 avr. 2022 14:00
Afficher les statistiques de telechargements

Éditer le document (administrateurs uniquement)

Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

Bibliothèque Paul-Émile-Boulet, UQAC
555, boulevard de l'Université
Chicoutimi (Québec)  CANADA G7H 2B1
418 545-5011, poste 5630