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This paper aims to provide a secure and efficient pairing protocol for two devices. Due to the large amount of data involving sensitive information transmitted in Internet of Things (IoT) devices, generating a secure shared key between smart devices for secure data sharing becomes essential. However, existing smart devices pairing schemes require longer pairing time and are difficult to resist attacks caused by context, as the secure channel is established based on restricted entropy from physical context.

This paper proposes a fuzzy smart IoT device pairing protocol via speak to microphone, FS2M. In FS2M, the device pairing is realized from the speaking audio of humans in the environment around the devices, which is easily implemented in the vast majority of Internet products. Specifically, to protect the privacy of secret keys and improve efficiency, this paper presents a single-round pairing protocol by adopting a recently published asymmetric fuzzy encapsulation mechanism (AFEM), which allows devices with similar environmental fingerprints to successfully negotiate the shared key. To instantiate AFEM, this paper presents a construction algorithm, the AFEM-ECC, based on elliptic curve cryptography.

This paper analyzes the security of the FS2M and its pairing efficiency with extensive experiments. The results show that the proposed protocol can achieve a secure device pairing between two IoT devices with high efficiency.

In FS2M, a novel cryptographic primitive (i.e., AFEM-ECC) are designed for IoT device pairing by using a new context-environment (i.e., human voice) . The experimental results show that FS2M has a good performance in both communication cost (i.e., 130 KB) and running time (i.e., 10 S).

To improve the deficiencies of the existing journal influencing evaluation indexes, which have single influencing factors and are greatly affected by the number of papers published, this paper proposes a new evaluation of the journal influence method based on the RA index.

In the metrics create, the paper introduces the RA index for evaluating the impact of authors and analyzing its feasibility in journal evaluation. Then the RA index is divided by the number of journal's published papers to obtain the RAQ index to evaluate journal impact. In the metrics analysis, the authors analyze the statistical characteristics of the RAQ index using statistical analysis, and t-test, Roc curve and PLS were used to analyze the relationship between the RAQ index and other indicators.

Empirical results show that the RAQ index can effectively identify high-quality journals and reduce the number of published papers on journal evaluation. The empirical results show that the RAQ index has higher stability and discrimination than the h-index and g-index. Compared with other indexes, the RAQ index has better evaluation effects and statistical characteristics.

The current study proposes journals' RAQ index, which integrates the influence of high-, low- and zero-cited papers. It solves the problem of the virtual high of the h-type index. The findings will contribute to the evaluation of journal influence by offering a new research idea that facilitates the fairness and rationality of journal evaluation.

The purpose of this study is to examine job engagement and creativity of employees in the hospitality industry of Pakistan as outcomes of empowering leadership through the mediating role of creative self-efficacy.

An electronic survey was conducted to collect data from 373 employees of food-chain restaurants in Pakistan. The data was analyzed by applying structural equation modeling (SEM) through Smart PLS 3.

Results indicated that empowering leadership has a positive association with job engagement and employee creativity in the hospitality industry. Further, creative self-efficacy has been found as mediating the relationship of empowering leadership with job engagement and employee creativity.

The study has substantial implications for the employees, managers and organizations of the hospitality industry as well as for the scholars of services industry research.