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Privacy-preserving Authentication in Participatory Sensing Systems: An attribute based authentication solution with sensor requirement enforcement.
KTH, School of Electrical Engineering and Computer Science (EECS).
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Sekretessbevarande autentisering i deltagande avkänningssystem : En attributbaserad autentiseringslösning med upprätthållande av sensorkrav (Swedish)
Abstract [en]

Participatory Sensing Systems (PSS) are a type of Mobile Crowdsensing System where users voluntarily participate in contributing information. Task initiators create tasks, targeting specific data that needs to be gathered by the users’ device sensors. Such systems have been designed with different requirements, such as data trustworthiness, accountability, and incentives, in a secure and private way. However, it is complex to protect user privacy without affecting the performance of the rest of the system. For example, with task assignment, either the user authenticates anonymously, or discloses its sensors for an efficient allocation. If the user identity is hidden from the system, it could receive a task it cannot perform. This thesis aims to design an anonymous authentication model for PSS based on privacy-preserving attribute-based signatures. The proposed solution allows the Participatory Sensing System to enforce sensor requirements for efficient task allocation. In addition to the design, experiments measuring the performance of the operations are included in the thesis, to prove it is suitable for real-world scenarios.

Abstract [sv]

Participatory Sensing Systems (PSS) är en typ av mobilt Crowdsensing-system där användare frivilligt deltar i att bidra med information. Aktivitetsinitiatorer skapar uppgifter, inriktade på specifik data som behöver samlas in av användarnas enhetssensorer. Sådana system har utformats med olika krav, såsom datatillförlitlighet, ansvarighet och incitament, på ett säkert och privat sätt. Det är dock komplicerat att skydda användarnas integritet utan att påverka prestandan för resten av systemet. Till exempel, med uppgiftstilldelning, antingen autentiserar användaren anonymt eller avslöjar sina sensorer för en effektiv tilldelning. Om användaridentiteten är dold från systemet kan den få en uppgift som den inte kan utföra. Denna avhandling syftar till att designa en anonym autentiseringsmodell för PSS baserad på integritetsbevarande attributbaserade signaturer. Den föreslagna lösningen gör det möjligt för Participatory Sensing System att upprätthålla sensorkrav för effektiv uppgiftsallokering. Utöver designen ingår experiment som mäter verksamhetens prestanda i avhandlingen, för att bevisa att den är lämplig för verkliga scenarier.

Place, publisher, year, edition, pages
2023. , p. 69
Series
TRITA-EECS-EX ; 2023:96
Keywords [en]
Anonymous authentication, privacy, ABS, participatory-sensing-systems, applied-cryptography, mobile-crowdsensing
Keywords [sv]
Anonym autentisering, integritet, ABS, deltagande-avkänningssystem, tillämpad kryptografi, mobil-crowdsensing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-325843OAI: oai:DiVA.org:kth-325843DiVA, id: diva2:1751343
Supervisors
Examiners
Available from: 2023-06-27 Created: 2023-04-17 Last updated: 2023-06-27Bibliographically approved

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