The Internet of People (IoP): A new wave in pervasive mobile computing

M Conti, A Passarella, SK Das - Pervasive and Mobile Computing, 2017 - Elsevier
Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towardan …

Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges

X Kong, X Liu, B Jedari, M Li, L Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

CrowdR-FBC: A distributed fog-blockchains for mobile crowdsourcing reputation management

Y Yu, S Liu, L Guo, PL Yeoh… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile crowdsourcing is a promising strategy for trusted data collection in Internet-of-Things
(IoT) applications. In this article, we propose a new fog-blockchain distributed approach for …

$ QnQ $ Q n Q: Quality and Quantity Based Unified Approach for Secure and Trustworthy Mobile Crowdsensing

S Bhattacharjee, N Ghosh, VK Shah… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A major challenge in mobile crowdsensing applications is the generation of false (or spam)
contributions resulting from selfish and malicious behaviors of users, or wrong perception of …

A game-theoretical approach for secure crowdsourcing-based indoor navigation system with reputation mechanism

L **e, TH Luan, Z Su, Q Xu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
At present, the crowdsourcing-based indoor navigation system (CINS) has attracted
extensive attention from both industry and academia owing to its low-cost and high-accuracy …

Improve reputation evaluation of crowdsourcing participants using multidimensional index and machine learning techniques

Y Huang, M Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Building a scientific and reasonable reputation evaluation mechanism for crowdsourcing
participants is an effective way to solve the problem of transaction fraud, to establish the trust …

Publish or drop traffic event alerts? Quality-aware decision making in participatory sensing-based vehicular CPS

RP Barnwal, N Ghosh, SK Ghosh, SK Das - ACM Transactions on Cyber …, 2019 - dl.acm.org
Vehicular cyber-physical systems (VCPS), among several other applications, may help
address an ever-increasing challenge of traffic congestion in large cities. Nevertheless …

CrowdBIG: crowd-based system for information gathering from the earthquake environment

H Bahadori, H Vahdat-Nejad, H Moradi - Natural Hazards, 2022 - Springer
Natural disasters have always threatened the lives of humans and other creatures. One of
the significant challenges for quickly responding to an earthquake is the need for precise …

ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing

J Wang, Y Wang, X Gu, L Chen… - International Journal of …, 2018 - journals.sagepub.com
In vehicular participatory sensing, vehicles may provide false data or low-quality data.
Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one …

Unifying Threats Against Information Integrity in Participatory Crowd Sensing

S Bhattacharjee, SK Das - IEEE Pervasive Computing, 2023 - ieeexplore.ieee.org
This article proposes a unified threat landscape for participatory crowd sensing (P-CS)
systems. Specifically, it focuses on attacks from organized malicious actors that may use the …