In this emerging data-driven world, secure and ubiquitous authentication mechanisms are necessary prior to any confidential information delivery. Biometric authentication has been widely adopted as it provides a unique and non-transferable solution for user authentication. In this article, the authors envision the need for an infield, remote and on-demand authentication system for a highly mobile and tactical environment, such as critical information delivery to soldiers in a battlefield. Fingerprint-based in-field biometric authentication combined with the conventional password-based techniques would ensure strong security of critical information delivery. The proposed in-field fingerprint authentication system involves: (i) wearable fingerprint sensor, (ii) template extraction (TE) algorithm, (iii) data encryption, (iv) on-body and long-range communications, all of which are subject to energy constraints due to the requirement of small form-factor wearable devices. This paper explores the design space and provides an optimized solution for resource allocation to enable energy-efficient in-field fingerprint- based authentication. Using Human Body Communication (HBC) for the on-body data transfer along with the analytics (TE algorithm) on the hub allows for the maximum lifetime of the energy-sparse sensor. A custom-built hardware prototype using COTS components demonstrates the feasibility of the in-field fingerprint authentication framework.
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http://dx.doi.org/10.1109/EMBC.2018.8513667 | DOI Listing |
J Phys Chem Lett
December 2024
Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350116, China.
The rise of big data and the internet of things has driven the demand for multimodal sensing and high-efficiency low-latency processing. Inspired by the human sensory system, we present a multifunctional optoelectronic-memristor-based reservoir computing (OM-RC) system by utilizing a CuSCN/PbS quantum dots (QDs) heterojunction. The OM-RC system exhibits volatile and nonlinear responses to electrical signals and wide-spectrum optical stimuli covering ultraviolet, visible, and near-infrared (NIR) regions, enabling multitask processing of dynamic signals.
View Article and Find Full Text PDFJ AOAC Int
December 2024
Centre of Excellence in Unani Medicine, Bioactive Natural Product Laboratory, Department of Pharmacognosy and Phytochemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India.
Background: Traditional formulations are used extensively throughout the world due to their holistic approach to health and wellness with the fewest possible adverse effects. Itrifal Sana is a traditional unani polyherbal formulation, a unique combination that makes it synergistically potent, capable of providing dual benefits for health and well-being. Even though the formulation is frequently utilised, there is no scientific evidence to support its therapeutic efficiency.
View Article and Find Full Text PDFNat Commun
December 2024
Advanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica), Turin, Italy.
Besides causing financial losses and damage to the brand's reputation, counterfeiting can threaten the health system and global security. In this context, physical unclonable functions (PUFs) have been proposed to overcome limitations of current anti-counterfeiting technologies. Here, we report on artificial fingerprints that can be directly engraved on a wide range of substrates through self-assembled block-copolymer templating as nanoscale PUFs for secure authentication and identification.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
Department of Computer Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addawasir, Riyadh, Saudi Arabia.
Advancements in multimodal biometrics, which integrate multiple biometric traits, promise to enhance the accuracy and robustness of identification systems. This study focuses on improving multimodal biometric identification by using fingerprint and finger vein images as the primary traits. We utilized the "NUPT-FPV" dataset, which contains a substantial number of finger vein and fingerprint images, which significantly aided our research.
View Article and Find Full Text PDFHum Cell
December 2024
Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Combined hepatocellular cholangiocarcinoma (cHCC-CCA) is a unique subtype of primary liver cancer displaying both hepatocytic and cholangiocytic differentiation. The development of effective treatments for cHCC-CCA remains challenging because of its high heterogeneity and lack of a suitable model system. Using a three-dimensional culture system, we successfully established two novel cHCC-CCA organoid lines from patients undergoing surgical resection for primary liver cancer.
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