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As a data-centric next-generation network architecture, Named Data Networking (NDN) exhibits inherent compatibility with the distributed nature of the Internet of Things (IoT) through its name-based routing mechanism. However, existing signature schemes for NDN-IoT face dual challenges: resource-constrained IoT terminals struggle with certificate management and computationally intensive bilinear pairings under traditional Public Key Infrastructure (PKI), while NDN routers require low-latency batch verification for high-speed data forwarding. To address these issues, this study proposes ECAE, an efficient certificateless aggregate signature scheme based on elliptic curve cryptography (ECC). ECAE introduces a partial private key distribution mechanism in key generation, enabling the authentication of identity by a Key Generation Center (KGC) for terminal devices. It leverages ECC and universal hash functions to construct an aggregate verification model that eliminates bilinear pairing operations and reduces communication overhead. Security analysis formally proves that ECAE resists forgery, replay, and man-in-the-middle attacks under the random oracle model. Experimental results demonstrate substantial efficiency gains: total computation overhead is reduced by up to 46.18%, and communication overhead is reduced by 55.56% compared to state-of-the-art schemes. This lightweight yet robust framework offers a trusted and scalable verification solution for NDN-IoT environments.
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http://dx.doi.org/10.3390/e27050471 | DOI Listing |
J Imaging
June 2025
Medical Physics Laboratory, School of Medicine, Democritus University of Thrace, 69100 Alexandroupolis, Greece.
Objective: This study proposes a novel deep learning approach for enhancing low-dose bone scintigraphy images using an Enhanced Convolutional Autoencoder (ECAE), aiming to reduce patient radiation exposure while preserving diagnostic quality, as assessed by both expert-based quantitative image metrics and qualitative evaluation.
Methods: A supervised learning framework was developed using real-world paired low- and full-dose images from 105 patients. Data were acquired using standard clinical gamma cameras at the Nuclear Medicine Department of the University General Hospital of Alexandroupolis.
Entropy (Basel)
April 2025
College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar.
As a data-centric next-generation network architecture, Named Data Networking (NDN) exhibits inherent compatibility with the distributed nature of the Internet of Things (IoT) through its name-based routing mechanism. However, existing signature schemes for NDN-IoT face dual challenges: resource-constrained IoT terminals struggle with certificate management and computationally intensive bilinear pairings under traditional Public Key Infrastructure (PKI), while NDN routers require low-latency batch verification for high-speed data forwarding. To address these issues, this study proposes ECAE, an efficient certificateless aggregate signature scheme based on elliptic curve cryptography (ECC).
View Article and Find Full Text PDFNeuropsychologia
October 2015
Centre d'excellence en Troubles envahissants du développement de l'Université de Montréal (CETEDUM), Hôpital Rivière-des-Prairies, Canada; Perceptual Neuroscience Lab for Autism and Development (PNLab), Canada; Department of Education and Counselling Psychology, McGill University, Montreal, Can
Background: Most investigations of visuo-perceptual abilities in the Autism Spectrum (AS) are level-specific, using tasks that selectively solicit either lower- (i.e., spatial frequency sensitivity), mid- (i.
View Article and Find Full Text PDFJ Mass Spectrom
February 2015
Equipe de Chimie Analytique et Environnement (ECAE), Département de Chimie, Faculté Polydisciplinaire de Safi, Université Cadi Ayyad, Marrakesh, Morocco.
The photocatalytic degradation of the antibiotic sulfamethazine under excitation at 365 nm of Pd-doped ceria-ZnO nanocomposite, titanium dioxide and iron(III) aqua complex was deeply studied from the analytical point of view. It reveals the formation of nine degradation products that were detected in their protonated forms using LC/electrospray ionization quadrupole time-of-flight MS in the positive mode. Their formation involves the hydroxyl radical, and their concentrations increased with irradiation time.
View Article and Find Full Text PDF