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Secure Lending: Blockchain and Prospect Theory-Based Decentralized Credit Scoring Model
(
IEEE Computer Society
, 2020 , Article)
Credit scoring is a rigorous statistical analysis carried out by lenders and other third parties to access an individual's creditworthiness. Lenders use credit scoring to estimate the degree of risk in lending money to an ...
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Mobile-edge computing (MEC) has emerged as a new computing paradigm with great potential to alleviate resource limitations attributed to mobile device users (MDUs) by offloading intensive computations to ubiquitous MEC ...
5G vehicular network resource management for improving radio access through machine learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ...
StabTrust-A Stable and Centralized Trust-Based Clustering Mechanism for IoT Enabled Vehicular Ad-Hoc Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Vehicular Ad-hoc Network (VANET) is a modern era of dynamic information distribution among societies. VANET provides an extensive diversity of applications in various domains, such as Intelligent Transport System (ITS) and ...
Lightweight Mutual Authentication Protocol for V2G Using Physical Unclonable Function
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Electric vehicles (EVs) have been slowly replacing conventional fuel based vehicles since the last decade. EVs are not only environment-friendly but when used in conjunction with a smart grid, also open up new possibilities ...
A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Driven by privacy concerns and the visions of deep learning, the last four years have witnessed a paradigm shift in the applicability mechanism of machine learning (ML). An emerging model, called federated learning (FL), ...