Visible to the public Architecture for security monitoring in IoT environments

TitleArchitecture for security monitoring in IoT environments
Publication TypeConference Paper
Year of Publication2017
AuthorsStergiou, C., Psannis, K. E., Plageras, A. P., Kokkonis, G., Ishibashi, Y.
Conference Name2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
KeywordsArchitecture, composability, computer network security, Data collection, data exchange, electronic data interchange, Embedded systems, Human Behavior, human factors, image sensors, innovative topology paradigm, Internet of Things, Internet-of-Things, IoT, IoT environments, IoT security, IoT technology, Metrics, Monitoring, Network topology, pubcrawl, Resiliency, security issue, security monitoring, telecommunication network topology, video data transmission, video surveillance, video surveillance technology

The focus of this paper is to propose an integration between Internet of Things (IoT) and Video Surveillance, with the aim to satisfy the requirements of the future needs of Video Surveillance, and to accomplish a better use. IoT is a new technology in the sector of telecommunications. It is a network that contains physical objects, items, and devices, which are embedded with sensors and software, thus enabling the objects, and allowing for their data exchange. Video Surveillance systems collect and exchange the data which has been recorded by sensors and cameras and send it through the network. This paper proposes an innovative topology paradigm which could offer a better use of IoT technology in Video Surveillance systems. Furthermore, the contribution of these technologies provided by Internet of Things features in dealing with the basic types of Video Surveillance technology with the aim to improve their use and to have a better transmission of video data through the network. Additionally, there is a comparison between our proposed topology and relevant proposed topologies focusing on the security issue.

Citation Keystergiou_architecture_2017