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The Internet of Things (IoT) is one of the fastest emerging technologies in the industry. It includes diverse applications with different requirements to provide services to users. Secure, low-powered, and long-range transmissions are some of the most vital requirements in developing IoT applications. IoT uses several communication technologies to fulfill transmission requirements. However, Low Powered Wide Area Networks (LPWAN) transmission standards have been gaining attention because of their exceptional low-powered and long-distance transmission capabilities. The features of LPWAN transmission standards make them a perfect candidate for IoT applications. However, the current LPWAN standards lack state-of-the-art security mechanism s because of the limitations of the IoT devices in energy and computational capacity. Most of the LPWAN standards, such as Sigfox, NB-IoT, and Weightless, use static keys for node authentication and encryption. LoRaWAN is the only LPWAN technology providing session key mechanisms for better security. However, the session key mechanism is vulnerable to replay attacks. In this paper, we propose a centralized lightweight session key mechanism for LPWAN standards using the Blom-Yang key agreement (BYka) mechanism. The security of the session key mechanism is tested using the security verification tool Scyther. In addition, an energy consumption model is implemented on the LoRaWAN protocol using the NS3 simulator to verify the energy depletion in a LoRaWAN node because of the proposed session key mechanisms. The proposed session key is also verified on the Mininet-WiFi emulator for its correctness. The analysis demonstrates that the proposed session key mechanism uses a fewer number of transmissions than the existing session key mechanisms in LPWAN and provides mechanisms against replay attacks that are possible in current LPWAN session key schemes.
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http://dx.doi.org/10.3390/s22135065 | DOI Listing |
J Cosmet Dermatol
September 2025
Department of Dermatology, Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China.
Purpose: To evaluate the efficacy and underlying mechanism of advanced optimal pulse technology intense pulsed light (AOPT) in low-energy triple-pulse long-width mode (AOPT-LTL) for melasma treatment.
Methods: An in vivo guinea pig model of melasma was established through progesterone injection and ultraviolet B radiation. Three sessions of AOPT-LTL treatment were performed weekly.
Glob Health Action
December 2025
Institute for Global Health Sciences, University of California, San Francisco, CA, USA.
Background: Despite evidence that mothers-in-law (MILs) influence daughters-in-law's (DILs) fertility and family planning decisions in South Asia, emphasizing early fertility and male grandchildren, few reproductive health interventions engage MILs directly.
Objectives: We assessed the feasibility, acceptability, and qualitative impact of a reproductive health and life skill-based intervention on MILs in tribal Rajasthan, India, using a mixed-methods, single-group cluster pilot study.
Methods: We tested a light-touch four-session intervention delivered over 4 months to MILs of newly married women that covered MILs' health, conception, and communication with DILs and sons and addressed modern healthcare misconceptions, while challenging son preference and fertility norms.
Drug Alcohol Rev
September 2025
Child Health Research Centre, The University of Queensland, Brisbane, Australia.
Introduction: The Australian Guide to the Diagnosis of fetal alcohol spectrum disorder (FASD), developed in 2016, is currently under review. This study aimed to understand how the Guide is used in practice and identify factors influencing its implementation.
Methods: A cross-sectional online survey was conducted with Australian health practitioners involved in the assessment and diagnosis of FASD.
Prehosp Disaster Med
September 2025
CACI, Inc, Falls Church, VirginiaUSA.
Introduction: Targeted identification, effective triage, and rapid hemorrhage control are essential for optimal outcomes of mass-casualty incidents (MCIs). An important aspect of Emergency Medical Service (EMS) care is field triage, but this skill is difficult to teach, assess, and research.
Study Objective: This study assessed triage efficacy and hemorrhage control of emergency responders from different professions who used the Sort, Assess, Life-Saving Treatment (SALT) triage algorithm in a virtual reality (VR) simulation of a terrorist subway bombing.
Microbes Infect
September 2025
Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland; ESCMID study group on Molecular Diagnostics and Genomics. Electronic address:
Rapid advancements in artificial intelligence (AI) and machine learning (ML) offer significant potential to transform medical microbiology diagnostics, improving pathogen identification, antimicrobial susceptibility prediction and outbreak detection. To address these opportunities and challenges, the ESCMID workshop, "Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics", was held in Zurich, Switzerland, from June 2-5, 2025. The course featured expert lectures, practical sessions and panel discussions covering foundational ML concepts and deep learning architectures, data interoperability, quality control processes, model development and validation strategies.
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