Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/808
Title: IoT based Big Data secure management in the Fog over a 6G Wireless Network
Authors: Stergiou, Christos L.
Psannis, Kostas E.
Gupta, Brij B.
Type: Article
Subjects: FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
FRASCATI::Engineering and technology::Other engineering and technologies
Keywords: Security
Big Data
Management
6G
Cloud Computing
Edge Computing
Internet of Things
Wireless Network
Smart Building
Issue Date: 26-Oct-2020
Publisher: IEEE
Source: IEEE Internet of Things Journal
Abstract: This work proposes an innovative infrastructure of secure scenario which operates in a wireless-mobile 6G network for managing Big Data on Smart Buildings. Count on the rapid growth of telecommunication field new challenges arise. Furthermore, a new type of wireless network infrastructure, the sixth generation (6G), provides all the benefits of its past versions and also improves some issues which its predecessors had. In addition, relative technologies to the telecommunications filed, such as IoT, Cloud Computing and Edge Computing, can operate through a 6G wireless network. Take into account all these, we propose a scenario that try to combine the functions of the Internet of Things with Cloud Computing, Edge Computing and Big Data in order to achieve a Smart and Secure environment. The major purpose of this work is to create a novel and secure Cache Decision System in a wireless network that operates over a Smart Building, which will offer the users safer and efficient environment for browsing the internet, sharing and managing large-scale data in the fog. This CDS consisted of two types of servers, one Cloud Server and one Edge Server. In order to come up with our proposal, we study related cache scenarios systems which are listed, presented, and compared in this work.
URI: https://doi.org/10.1109/JIOT.2020.3033131
https://ruomo.lib.uom.gr/handle/7000/808
Electronic ISSN: 2327-4662
Other Identifiers: 10.1109/JIOT.2020.3033131
Appears in Collections:Department of Applied Informatics

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