Emerging Sensing and Secure Computing in Mobile Crowdsensing System

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Authors

Sasireka V
Department of Computer Science and Engineering, M.S. Engineering College, Bengaluru, India-600025
Shyamala Ramachandran
Department of Information Technology, University College of Engineering- Tindivanam, India- 600025

Keywords:

Mobile crowdsensing, Security, Cyber-attacks, Blockchain, Proactive defence mechanism

Synopsis

Mobile Crowdsensing Systems (MCS) rely on the collaborative participation of a multitude of individuals equipped with mobile devices capable of sensing and computing. Together, they share data and extract information to observe, map, analyze, estimate, or predict various processes of common interest. This approach offers the advantage of low deployment cost and extensive geographical coverage, making it applicable in various domains such as transportation, environmental monitoring, smart cities, pervasive healthcare, and more. However, MCS systems often encounter challenges related to security, privacy, and trust. The presence of motion sensors like accelerometers and gyroscopes in smartphones is crucial for monitoring our real-world surroundings. Unfortunately, these sensors also make us vulnerable to privacy invasion attacks, where leaked private information can reveal details about human behaviors, physical characteristics, and location. Furthermore, MCS systems are susceptible to side-channel attacks, where the operation of basic sensors can inadvertently leak sensitive data in mobile crowdsensing applications. While traditional cryptography methods can address some security and privacy concerns, they are not feasible for resource-constrained smart mobile or Internet of Things devices, limiting their application in MCS. In light of these issues, this chapter proposes an innovative Proactive Defense Mechanism using Blockchain based Mobile Crowdsensing (BMCS) that aims to intercept, disrupt, or deter attacks or threats before they can occur, ensuring the security of the mobile crowd sensing process. The proposed approach has been thoroughly analyzed, and the security proofs demonstrate that it significantly enhances the level of security in MCS.

References

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Published

13 June 2025
Copyright (c) 2025 Sasireka V, Shyamala Ramachandran

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E-Book

ISBN-13 (15)

978-93-7185-433-7

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-545-7

How to Cite

Sasireka V, & Ramachandran, S. . (2025). Emerging Sensing and Secure Computing in Mobile Crowdsensing System. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-433-7
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