Contemporary cryptocurrencies lack legal, monetary, and institutional backing that traditional financial services employ. Instead, cryptocurrencies provide trust through technology. Despite the plethora of research in both trust and cryptocurrencies, the underlying attributes of the technologies that drive trust in cryptocurrencies are not well understood. To uncover these attributes, we analyze the corpus of 1.97 million discussion posts related to Bitcoin, the oldest and most widely used cryptocurrency. Based on earlier research, we identified functionality, reliability, and helpfulness as the focal constructs with which to evaluate users' trust in technology. In our analysis, we discovered 11 different attributes related to three technology constructs that are significant in creating and maintaining users' trust in Bitcoin. The findings are discussed in detail in the article.

This paper studies a defense approach against one or more swarms of adversarial agents. In our earlier work, we employed a closed formation (“StringNet”) of defending agents (defenders) around a swarm of adversarial agents (attackers) to confine their motion within given bounds, and guide them to a safe area. The adversarial agents were assumed to remain close enough to each other, i.e., within a prescribed connectivity region. To handle situations when the attackers no longer stay within such a connectivity region, but rather split into smaller swarms (clusters) to maximize the chance or impact of attack, this paper proposes an approach to learn the attacking sub-swarms and reassign defenders toward the attackers. We use a “Density-based Spatial Clustering of Application with Noise (DBSCAN)” algorithm to identify the spatially distributed swarms of the attackers. Then, the defenders are assigned to each identified swarm of attackers by solving a constrained generalized assignment problem. We also provide conditions under which defenders can successfully herd all the attackers. The efficacy of the approach is demonstrated via computer simulations, as well as hardware experiments with a fleet of quadrotors.

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Digital transformation is an inevitable trend that impacts all industries, and blockchain is one technology that drives it along with other emerging technologies. This paper conducts a systematic literature review (SLR) on how blockchain enables digital transformation. We analyzed 41 articles to identify the current state, clarify research gaps, and highlight future research agendas. The results reveal that blockchain is a promising technology that has great potential and can offer several opportunities for various companies. Collected articles contain evidence regarding challenges and barriers, as well as potential benefits of blockchain in relation to digital transformation. Through the detailed assessment of the chosen studies, a theoretical framework for blockchain enabled digital transformation has been developed. We highlight open issues that can be handled in future research to overcome barriers and address the challenges concerning blockchain adoption.

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