Results 91 to 100 of about 12,378 (273)
SECURITY AND PRIVACY, Volume 7, Issue 5, September/October 2024.Abstract This systematic literature review examines the implementation and analysis of zk‐SNARK, zk‐STARK, and bulletproof non‐interactive zero‐knowledge proof (NIZKP) protocols in privacy‐preserving applications across diverse sectors. Examining 41 research works obtained through the systematic search queries and filtering criteria published from 2015
Bjorn Oude Roelink +2 more
wiley +1 more source
Multi-Level Two-Sided Rating Protocol Design for Service Exchange Contest Dilemma in Crowdsensing
IEEE Access, 2019 Strategic users in a service exchange application of crowdsensing are apt to exhibit malicious behaviors such as greed, free-ride, and attack, resulting in the phenomenon that no user is willing to serve others and low social utility is obtained in ...
Jianfeng Lu +6 more
doaj +1 more source
Sustainable Spectrum Crowdsensing
2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)Spectrum crowdsensing is a paradigm where participants upload their collected spectrum data to the cloud for extracting analytics. First movers like Microsoft Spectrum Observatory and Electrosense, though with support from leading industry, research, and government, still suffer from sustainability challenges.
Zeng, Yijing +4 more
openaire +2 more sources
Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 14, Page 2122-2139, 15 July 2024.Abstract Drive‐by structural health monitoring (SHM) is a cost‐efficient alternative to the direct SHM of short‐ to medium‐size bridges requiring no sensors to be installed on the structure. However, drive‐by SHM is generally known as a short‐term monitoring technique due to the challenges associated with using multiple passages of instrumented ...
Hoofar Shokravi +3 more
wiley +1 more source
Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data
Structural Control and Health Monitoring, Volume 2024, Issue 1, 2024.Traditional bridge health monitoring methods that necessitate sensor installation are not only costly but also time‐consuming. In contrast, utilizing smartphone data collected from vehicles as they traverse bridges offers an efficient and cost‐effective alternative. This paper introduces a cutting‐edge damage detection framework for indirect monitoring
Mohammad Talebi-Kalaleh +2 more
wiley +1 more source
Evaluation of Simulation Engines for Crowdsensing Activities [PDF]
, 2015 The goal of this paper is to analyze existing simulation engines and assess how well-suited they are for simulating the formation, existence and dissolution of dynamic social networks, with a special emphasis on networks formed around crowdsensing ...
Farkas, Károly, Lendák, Imre
core
Edge Computing Architecture for Mobile Crowdsensing
IEEE Access, 2018 Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic +2 more
openaire +3 more sources
TripSense: A Trust-Based Vehicular Platoon Crowdsensing Scheme with Privacy Preservation in VANETs
Sensors, 2016 In this paper, we propose a trust-based vehicular platoon crowdsensing scheme, named TripSense, in VANET. The proposed TripSense scheme introduces a trust-based system to evaluate vehicles’ sensing abilities and then selects the more capable vehicles in ...
Hao Hu +3 more
doaj +1 more source
Smart Cities Using Crowdsensing and Geoferenced Notifications
, 2023 As the internet and the Internet of Things continue to expand, the idea of Smart Cities has begun to take hold. Smart Cities use connected devices and data to improve the environment and quality of life of their citizens. Technologies such as crowdsensing and geofencing allow citizens to contribute to initiatives and receive notifications when near ...
Rui Miranda +6 more
openaire +2 more sources
Federated Crowdsensing: Framework and Challenges
, 2020 Crowdsensing is a promising sensing paradigm for smart city applications (e.g., traffic and environment monitoring) with the prevalence of smart mobile devices and advanced network infrastructure. Meanwhile, as tasks are performed by individuals, privacy protection is one of the key issues in crowdsensing systems.
Wang, Leye, Yu, Han, Han, Xiao
openaire +2 more sources