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Research Publications (Engineering and Built Environment)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/215

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Has files: YesSubject: search.filters.subject.IoT (Internet of Things)

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    An assessment of environmental RF noise due to IoT deployment
    (MDPI AG, 2023-09) Ingala, Dominique G.K.; Pillay, Nelendran; Pillay, Aritha
    The advent of the Internet of Things (IoT) has contributed to an increase in the production volume of RF-featured equipment. According to statistics from the literature, the IoT industry will soon deploy billions of products. While the concept behind these applications seems exciting, this paper sought to assess the effects the radio emissions produced by IoT products would have on the ambient radio noise levels within the unlicensed frequency bands of 433 MHz, 868 MHz, and 2.4 GHz. The study extended to three environments: industrial, urban, and suburban. This study developed an IoT noise generator (ING) device to emulate RF noise signals in the desired IoT radio transmission band. The paper presents a simplified radio noise surveying system (RNSS) for data collection of ambient radio noise from five South African candidate sites. The statistical and empirical analysis agree that the level of ambient radio noise was directly proportional to the rate of IoT radio activities. The slopes of the regression lines demonstrate that 80% of the analyzed data developed augmenting trends. Approximately 20% of the data show declining trends.
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    A privacy and security preservation framework for D2D communication based smart grid services
    (IEEE, 2020-04-30) Bopape, Lebogang P.; Nleya, Bakhe; Khumalo, P.
    Long-Term-Evolution (LTE) based Device-to-Device (D2D) communication in future generation networks are envisaged to become the basis for deployment of various applications and services in Smart Grids (SGs). However related privacy and security aspects are also under serious consideration especially when dealing with large-scale deployment of services and applications related D2D groups. Current and legacy related algorithms cannot be applied directly to this new paradigm shift (i.e D2D communication and group formations). Using the IoT as the pillar communication subsystem for SGs, the service providers can deploy several applications and services some of which may include the acquisition and storage of personal information of individual SG users. However, the challenge will always be in the strict preservation of privacy and security of their personal data and thus a necessity in eliminating such concerns. In this paper we propose a general framework that employs a Group Key Management (GKM) mechanism to ensure enhanced privacy and security especially during the discovery and communication phases. We further mitigate on the impact of enhanced privacy and security in SG services and applications.