ShareTrust: Centralized trust management mechanism for trustworthy resource sharing in industrial Internet of Things

The digital supply chain has become an integral part of modern business operations, enabling efficient and streamlined processes. However, with the rapid advancement of technology, the supply chain landscape has become increasingly vulnerable to cyber threats and attacks. This chapter explores the critical issue of cybersecurity within the context of the digital supply chain, aiming to equip professionals and practitioners with the knowledge and strategies to safeguard their operations. Lastly, the chapter sheds light on emerging technologies and future trends and concludes with a call to action for securing the digital supply chain. It also highlights the future challenges and directions in cybersecurity for the supply chain, urging professionals to stay vigilant and adapt to evolving strategies and technologies. Overall, this chapter serves as a comprehensive guide for securing the digital supply chain, empowering readers to fortify their operations against cyber threats and ensure the resilience of their supply chain networks. 

Securing the Digital Supply Chain Cyber Threats and Vulnerabilities

The connection between consumer satisfaction and service quality may be quite researched in academia. Pertinently, we argue that there is a gap of the contribution of “technology adaptation capabilities (TAC)” in this relationship. Hence, objective of this empirical paper is to reveal the impacts of service quality on young customers’ satisfaction toward e-commerce in china, considering the mediating effect of technology adaptation capabilities. The independent factor, service quality was measured through SERVQUAL model including its five indicators: Tangibility (TAN), Reliability (REL), Responsiveness (RES), Assurance (ASR) and Empathy (EMP). Moreover, customer satisfaction is a notable concern for the organizations to exist and growth. Likewise, prior contemporary research also suggested a requirement for more empirical investigations on the current association. However, hypotheses in this present study are formulated based on the literature, and to the hypotheses, data were collected from 387 young e-commerce users from different cities in China used judgmental sampling method. For analyzing the data structural equation (PLM-SEM) model have been utilized. The result shows that all five indicators contribute to customer satisfaction. Additionally, with the mediation of technology adaptation capabilities, all factors have significant effects on customer satisfaction. This research intended to contribute to the researchers, professionals, investors, executives, and other stakeholders by broadening the profound insights on e-commerce.

Mediation Effect of Technology Adaptation Capabilities Between the Relationship of Service Quality Attributes and Customer Satisfaction: An Investigation on Young Customers Perceptions Toward E-Commerce in China

An evolutionary game analysis on blockchain technology adoption in cross-border e-commerce

Live-streaming e-commerce is the future development direction of the retail industry. When retailers choose a live-streaming e-commerce platform, they face the test of various risks of the platform, such as insecure control of capital flow, insufficient support of public domain traffic, etc. Therefore, it is necessary to evaluate the risks of the platform to help retailers identify the platform with the lowest risk. Considering the complexity of the risks of live-streaming e-commerce platforms and the ambiguity of the decision-makers thinking, the current method for multi-criteria group decision-making (MCGDM) method in a fuzzy environment rarely discusses the decision-makers weight for the criterion. This paper proposes interval-valued intuitionistic fuzzy multi-criteria group decision-making based on the decision-makers’ professionalism to evaluate the platform’s risks. This method determines the decision-maker’s weight for the criterion based on the professionalism of the decision-maker and uses the technique for order preference by similarity to an ideal solution (TOPSIS) method to rank the alternative platforms. Finally, a risk assessment of the agricultural product live-streaming e-commerce platforms is used as a case study to demonstrate the feasibility and effectiveness of the proposed method. This research will not only provide practical guidance for retailers to choose the live-streaming e-commerce platform with the lowest comprehensive risk but also provide ideas for the research of live-streaming e-commerce from the perspective of risk assessment.

/pdf/a-multi-criteria-group-decision-making-method-for-risk-1iinr5oo.pdf

A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform

Recent years have witnessed the intensive development of live streaming E-commerce, an emerging business mode. Although it contributes to economic growth, various forms of chaos show up and disturbs the market order. Therefore, from 1 July 2020, the official release of the first domestic document on live streaming E-commerce, the Code of Conduct for Online Live Streaming Marketing, to the end of the first half of 2021, China has witnessed so intensive release of relevant policies that are rare over the past years. Introducing these policies will inevitably attract the general public’s attention and discussions. Based on online comments, this paper uses the LDA models to extract topics from online comments related to live streaming E-commerce and identifies sentiment polarity and sentiment intensity by the analysis models of different emotion dictionaries to study policy implementation effects and the main topics of concern before and after the policy implementation. The analysis results show that people between the age of 20 and 40 attach more importance to the implementation of the normative policy for live streaming E-commerce. Women, the main force of live streaming users, are less enthusiastic about the policy implementation than men. Moreover, the analysis results of the LDA models and online HDP (online hierarchical Dirichlet process) models demonstrate that the most discussed topics are the contribution of live streaming E-commerce to traditional economic transformation, public welfare activities, resumption of work and production, and poverty alleviation, as well as fraud, counterfeit goods, supervision, rights protection and other incidents in this industry. Overall, the majority of the public holds a positive attitude towards the policy implementation. After further analysis of comments under the relevant topics, it is found that compared with the first two policies released on 1 July and 5 November in 2020, although the proportion of netizens with positive emotions during the implementation of the follow-up policy has increased, the increment is not significant, indicating that the implementation of the new normative policy in a short term will hardly curb the occurrence of industry chaos. In turn, the governments should transfer their attention to actual regulatory problems, and intensify efforts to implement normative policies.

/pdf/analysis-of-the-public-opinion-evolution-on-the-normative-2zq80h7f.pdf

Analysis of the Public Opinion Evolution on the Normative Policies for the Live Streaming E-Commerce Industry Based on Online Comment Mining under COVID-19 Epidemic in China

Blockchain-based trust management for verifiable time synchronization service in IoT

The smart grid, which is an important component of smart cities, is developing rapidly nowadays, while the confidentiality and integrity of consumption data of customers become significant security issues. Although existing privacy-preserving aggregation schemes reduce the communication overhead and protect the privacy of users’ multidimensional power data, most of them are vulnerable and possess no quantum-resistant properties. In this article, we combine the Chinese remainder theorem (CRT) and the bit decomposition method to provide multibit homomorphic properties for the quantum-resistant algorithm number theory research unit (NTRU), and propose the partial-homomorphic NTRU (PH-NTRU). Then, based on the algorithm, we design the lattice-based multidimensional data privacy-preserving data aggregation scheme named FTCR-LMPPDA, in which the edge devices work as aggregator gateways. Specifically, smart meters participating in the aggregation process share zero-sum numbers to resist collusion attacks. Error retransmission mechanism and random number reconstruction algorithm are introduced to enhance the robustness of this scheme and provide our system with the ability to recover from faults. In addition, security analysis shows our scheme can resist quantum attacks, collusion attacks, and other internal and external attacks as well as keep the security features, such as confidentiality, privacy and integrity of users’ data. Finally, performance evaluation demonstrates that our scheme is more efficient than existing schemes and is more suitable for devices with constrained resources.

Fault Tolerant and Collusion-Resistant Lattice Based Multidimensional Privacy-Preserving Data Aggregation in Edge-Based Smart Grid

Modern business models improve the efficiency of supply chain management by attaching tags to products. These tagged products typically change owners multiple times during their life cycles. The ownership transfer protocol authorizes the new owner by replacing the old owner’s authentication information stored in the tag with the new owner’s. Until now, a considerable amount of literature has proposed solutions to the problem of RFID ownership transfer. Unfortunately, these existing protocols are either flawed in some security properties especially in protecting new and old owners’ privacy, or are associated with huge computational overheads. In this paper, we propose an ultra-lightweight RFID ownership transfer protocol based on permutation function. The tag and reader only use efficient bit operations, which greatly reduce the computational overhead. An important feature of the proposed protocol is that the new owner can impose calculations on data that has been encrypted by the old owner. The new owner is authorized by the old owner and does not have access to the tag’s key, which protects the old owner’s privacy stored in the tag side. We compare our protocol with existing work, and show the advantages in terms of security, computational overhead, and time cost. 

A secure and efficient two-party protocol enabling ownership transfer of RFID objects

The fine grain of ciphertext-policy attribute-based encryption (CP-ABE) offers advantages through the amalgamation of key and user attributes; however, it also brings the issue of key misuse. To circumvent the tracking mechanisms of the white-box algorithm, malicious users manipulate the decryption key and encryption algorithm, encapsulating them to create a black-box decryption device. This necessitates black-box traceability for supervision purposes. In this article, we employ $n$ -bit encrypted binary vectors to depict the user’s identity and subsequently convert it into partial decryption privileges. When encrypting plaintext, data owners can utilize a “vague specification” to define the identity vector of qualified decryptors. Furthermore, based on the vague specification mechanism, we have devised a pioneering active black-box tracing algorithm. Integrating this algorithm with CP-ABE, we propose the black-box traceable CP-ABE (EIV-BT-ABE) scheme. Our EIV-BT-ABE scheme attains strong traceability with low time complexity, effectively reducing decryption and encryption time costs. The experiment substantiated the efficiency of our scheme while demonstrating its adherence to IND-CPA security.

EIV-BT-ABE: Efficient Attribute-Based Encryption With Black-Box Traceability Based On Encrypted Identity Vector

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