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Today, increasing Internet of Things devices are deployed, and the field of applications for decentralized, self-organizing networks keeps growing. The growth also makes these systems more attractive to attackers. Sybil attacks are a common issue, especially in decentralized networks and networks that are deployed in scenarios with irregular or unreliable Internet connectivity. The lack of a central authority that can be contacted at any time allows attackers to introduce arbitrary amounts of nodes into the network and manipulate its behavior according to the attacker's goals, by posing as a majority participant. Depending on the structure of the network, employing Sybil node detection schemes may be difficult, and low powered Internet of Things devices are usually unable to perform impactful amounts of work for proof-of-work based schemes. In this paper, we present Rechained, a scheme that monetarily disincentivizes the creation of Sybil identities for networks that can operate with intermittent or no Internet connectivity. We introduce a new revocation mechanism for identities, tie them into the concepts of self-sovereign identities, and decentralized identifiers. Case-studies are used to discuss upper- and lower-bounds for the costs of Sybil identities and, therefore, the provided security level. Furthermore, we formalize the protocol using Colored Petri Nets to analyze its correctness and suitability. Proof-of-concept implementations are used to evaluate the performance of our scheme on low powered hardware as it might be found in Internet of Things applications.
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http://dx.doi.org/10.3390/s21093257 | DOI Listing |
J Multidiscip Healthc
September 2025
Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, Indonesia.
Background: Falls are a major cause of injury and death among the elderly, highlighting the need for effective and real-time detection systems. Embedded Internet of Health Things (IoHT) technologies integrating sensors, microcontrollers, and communication modules offer continuous monitoring and rapid response. However, the research landscape remains fragmented, and no comprehensive bibliometric review has been conducted.
View Article and Find Full Text PDFVet World
July 2025
Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Bogor, Indonesia.
Background And Aim: Silage plays a pivotal role in ruminant nutrition, significantly influencing rumen fermentation, animal productivity, and environmental sustainability. Despite extensive research on silage and fermentation, a comprehensive synthesis of global trends and collaborations in this domain has not been systematically explored. This study aimed to conduct a bibliometric analysis of global research on silage feed and its effects on rumen fermentation in ruminants.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
Accurate imputation of missing data is crucial in the Industrial Internet-of-Things (IIoT), where operations are often compromised by noisy samples from harsh environments. Traditional imputation methods struggle with such noise due to their black-box nature or lack of adaptability. To address this issue, we recast data imputation as a distribution alignment challenge, utilizing the flexibility of optimal transport (OT) to handle noisy samples.
View Article and Find Full Text PDFCompr Rev Food Sci Food Saf
September 2025
Department of Life Science (Food Science and Technology Division), GITAM University, Visakhapatnam, Andhra Pradesh, India.
Drying is a critical unit operation in food processing, essential for extending shelf life, ensuring microbial safety, and preserving the nutritional and sensory attributes of food products. However, conventional convective drying techniques are often energy-intensive and lead to undesirable changes such as texture degradation, loss of bioactive compounds, and reduced product quality, thereby raising concerns regarding their sustainability and efficiency. In response, recent advancements have focused on the development of innovative drying technologies that offer energy-efficient, rapid, and quality-preserving alternatives.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
School of Applied Sciences and Technology, Gujarat Technological University, Gujarat, India. Electronic address:
This chapter examines advancements and future trajectories in wearable biosensing technologies, a multidisciplinary field encompassing healthcare, materials science, and information technology. Wearable biosensors are revolutionizing real-time physiological and biochemical monitoring with applications in personalized health monitoring, disease diagnosis, fitness, and therapeutic interventions. In addition to Internet of Things (IoT) and wireless connectivity technologies such as Bluetooth Low Energy (BLE) and 5G, which facilitate transparent remote monitoring and data exchange, other notable innovations such as machine learning and artificial intelligence enhance real-time processing of data, predictive analytics, and personalized healthcare solutions.
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