Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security
Edge computing-based Next-Generation Wireless Networks (NGWN)-IoT offer enhanced bandwidth capacity for large-scale service provisioning but remain vulnerable to evolving cyber threats. Existing intrusion detection and prevention methods provide limited security as adversaries continually adapt their attack strategies. We propose a dynamic attack...
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Federated learning has become a promising distributed learning concept with extra insurance on data privacy. Extensive studies on various models of Federated learning have been done since the coinage of its term. One of the important derivatives of federated learning is hierarchical...
Fast, Space-Optimal Streaming Algorithms for Clustering and Subspace Embeddings
We show that both clustering and subspace embeddings can be performed in the streaming model with the same asymptotic efficiency as in the central/offline setting. Per $(k, z)$-clustering in the streaming model, we achieve a number of words of memory which is...
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
Missingness in variables that define study eligibility criteria is a seldom addressed challenge in electronic health record (EHR)-based settings. It is typically the case that patients with incomplete eligibility information are excluded from analysis without consideration of (implicit) assumptions that are being...
Algebra tensore quasitubale su spazi di Hilbert separabili
The tubal tensor framework provides a clean and effective algebraic setting for tensor computations, supporting matrix-mimetic features like Singular Value Decomposition and Eckart-Young-like optimality results. Underlying the tubal tensor framework is a view of a tensor as a matrix of finite sized...
Geometria quantistica allo stato normale, nonlocalità e superconduttività
We investigate aspects of the relation between the quantum geometry of the normal state (NS) e la fase superconduttiva, through the lens of non-locality. Mettendo in relazione la teoria delle bande con la teoria della stima quantistica, we derive a direct momentum-dependent relation between quantum geometry and...
Pticotomografia analitica di Fourier per l'indice di rifrazione volumetrico immagine
Tridimensionale (3D) indice di rifrazione (RI) offerte di tomografia senza etichetta, quantitative volumetric imaging but faces limitations due to optical aberrations, risoluzione limitata, and the computational complexity inherent to existing approaches. Per superare queste barriere, we propose Analytic Fourier Ptychotomography (AFP), a new computational microscopy...
LTDE: L'esperimento del ritardo temporale della lente I. Dai pixel alle curve di luce
Gravitationally lensed quasars offer a unique opportunity to study cosmological and extragalactic phenomena, using reliable light curves of the lensed images. Ciò richiede un accurato deblending delle immagini del quasar, which is not trivial due to the small separation between the lensed images...
Gestione dinamica della memoria adattiva ed efficiente per le enclavi hardware
La seconda versione delle estensioni Intel Software Guard (Intel SGX), o SGX2, aggiunge la gestione dinamica della memoria e dei thread dell'enclave. The first version required the address space and thread counts to be fixed before execution. The Enclave Dynamic Memory Management (EDMM) feature...
Campi idrodinamici in ambiente fluttuante: il fononico emergente ed eccitazioni di tipo tachionico
Utilizzando metodi funzionali, investighiamo in un liquido a bassa temperatura, the sound quanta defined by the quantized hydrodynamic fields, under the effects of high-energy processes on the atomic/molecular scale. To obtain in the molecular level the excitation spectra of liquids, we assume that...