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The diagnosis (i.e., risk analysis) of the elevator system is a significant challenge with the rapid growth of the elevator market in consumer electronics. The traditional elevator diagnosis strategies focus on detecting faults or predicting potential malfunctions. However, these solutions largely hinge on qualitative risk assessments, delivering risky or risk-free outcomes. As a result, the task of comprehending the level of risk and subsequently developing countermeasures that are appropriately adaptable presents a formidable challenge. To address this challenge, an IEEE 2668-compliant Adaptive Quantitative Risk Analysis strategy (AQRAS) using system theoretical process analysis (STPA) is proposed in this paper. The AQRAS analyzes the risk of the elevator system with a safety index (SDex) ranging from 0 to 5, using measurements derived from the Internet-of-Things (IoT) network. The SDex was inspired by the IoT maturity index (IDex) created by the IEEE 2668 global standard for evaluating IoT-related applications. Consequently, the AQRAS is an IEEE 2668-compliant development for elevator diagnosis. Specifically, incorporating STPA into the AQRAS improves the key assessment feature identification compared to the original framework. The feature recognition in the original IDex framework lacks an instructive technique. To complete this, the STPA finds out the key features by analyzing the interactions among intra-system components, which makes it more exhaustive and methodical. Moreover, the complex network is utilized to investigate the relationships between the features and therefore identify the riskiest components that could be impacted by the features. This allows for the adaptive design of countermeasures to mitigate the risks. Leveraging both the experimental and simulation data, two case studies are presented to demonstrate the application of AQRAS in two different scenarios.

The tremendous advancement of Internet-of-Things (IoT) has proliferated the interaction between the physical and cyber worlds. Consumer electronics, as the first tier in the physical world, would play a crucial role to enable ubiquitous information exchange. The adoption of IoT technologies will inevitably enhance the maturity of consumer products and services, proliferating the market of consumer electronics. Nonetheless, the ever-growing number of uncoordinated connections and unregulated integrations of technologies would pose various challenges and threats, resulting in vulnerability to consumer electronics. Thus, there is an urgent need for defining the trusted infrastructure and research directions for consumer electronics. In this paper, the next-generation (next-gen) consumer electronics would be defined for the first time. Also, the state-of-the-art architecture of next-gen consumer electronics would be presented, in compliance with the emerging IoT standard IEEE 2668. To address the underlying challenges in next-gen consumer electronics, this paper will classify the essential research topics for consumer electronics and present future research opportunities, such as the exploitation of complex network analysis, cybersecurity measures, etc., to foster the development of consumer electronics in a reliable, efficient, safe, and secure manner.

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