Internet of Things (IoT) environments are widely employed in industrial applications including intelligent transportation systems, healthcare systems, and building energy management systems. For such environments of highly sensitive data, adapting scalable and flexible communication with efficient security is vital. Research investigated wireless Ad-hoc/mesh networking, while Attribute Based Encryption (ABE) schemes have been highly recommended for IoT. However, a combined implementation of both mesh networking and Key-Policy Attribute Based Encryption (KPABE) on resource-constrained devices has been rarely addressed. Hence, in this work, an integrated system that deploys a lightweight KPABE security built on wireless mesh networking is proposed. Implementation results show that the proposed system ensures flexibility and scalability of self-forming and cooperative mesh networking in addition to a fine-grained security access structure for IoT nodes. Moreover, the work introduces a case study of an enabled scenario at a school building for optimizing energy efficiency, in which the proposed integrated system architecture is deployed on IoT sensing and actuating devices. Therefore, the encryption attributes and access policy are well-defined, and can be adopted in relevant IoT applications.INDEX TERMS attribute based encryption, constrained-resources, cybersecurity, elliptic curves cryptography, internet of things, mesh networking This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.
The ELSO Supplies Platform (Supplies.ELSO.org) was created out of Extracorporeal Membrane Oxygenation (ECMO) disposable product deficiency prior to and during the Coronavirus Disease 2019 (COVID-19) pandemic. This novel Platform supports Centers in obtaining disposables when alternative avenues are exhausted. Driven by the opportunity for increased patient care by using the product availability of the 962 ELSO centers worldwide was the motivation to form an efficient online supply sharing platform. The pandemic created by COVID-19, became a catalyst to further recognize the magnitude of the supply disruption on a global scale, impacting allocations and guidelines for institutions, practice, and patient care. Records kept on the platform website are helpful to industry by providing insights where difficulties exist in the supply chain for needed equipment. Yet, the common thread is awareness, how critical situations can stretch resources and challenge our resolve for best patient care. ELSO is proud to support member centers in these situations, by providing a means of attaining needed ECMO life support products to cover supply deficiencies.
Global population has significantly tripled in the last 50 years. The increasing population rate has led to increasing energy consumption, consequently, increasing Greenhouse Gas (GHG) emissions, which is the leading cause for global warming that endangers survival chances for living species. However, recent interest surged in renewable energy for clean and sustainable power production and consumption. With the deployment of renewable energy in the past years, dependence on fossil fuel was supposed to have declined, and consequently, GHG emissions, especially CO2. The aim of this research is to study the effect of population growth against fossil fuel consumption producing these emissions, in addition to the impact of renewable energy consumption that alternatively reduces GHG emissions. The outcome of the proposed topic represents comprehensive findings that relate population growth with global energy consumption against GHG emissions over the past few decades. This is achieved based on recent statistical applications and methodologies including linear regression models, and prediction models, which are applied to study the interaction of annual CO2 emissions, energy consumption, and population during, almost, the past fifty years. Additionally, according to the results, the presented null hypothesis is rejected as the current trend does not comply with the Paris agreement.
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