Data Privacy and Cybersecurity in Mobile Crowdsensing
Dublin Core
Title
Data Privacy and Cybersecurity in Mobile Crowdsensing
Subject
Technology
Description
Mobile crowdsensing (MCS) has emerged as a pivotal element in contemporary communication technology, witnessing substantial growth recently. The advent of 5G, the Internet of Things (IoT), and edge computing has propelled MCS researchers to achieve enhanced sensing efficiency and broaden its application spectrum across various domains such as environmental monitoring, traffic management, and healthcare. However, despite these advantages, MCS confronts significant security and privacy challenges due to its open and diverse nature. Critical concerns encompass data leakage, unauthorized access, data tampering, and cross-network attacks.
Creator
Chuan Zhang,
Tong Wu,
Weiting Zhang
Tong Wu,
Weiting Zhang
Source
https://mdpi-res.com/bookfiles/book/11242/Data_Privacy_and_Cybersecurity_in_Mobile_Crowdsensing.pdf?v=1775005894
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2025
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Chuan Zhang,
Tong Wu,
Weiting Zhang, “Data Privacy and Cybersecurity in Mobile Crowdsensing,” Open Educational Resource (OER) - USK Library, accessed April 4, 2026, https://oer.usk.ac.id/items/show/9800.