A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption
Carpooling enables multiple users with similar travel habits to share rides, reducing vehicles on the road, leading to benefits such as lower fuel consumption, reduced traffic congestion, and lower environmental impact. However, carpooling also poses a challenge to the privacy of the users, as they...
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Advanced Intelligent Systems |
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| Online Access: | https://doi.org/10.1002/aisy.202400507 |
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| _version_ | 1849327974309953536 |
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| author | David Palma Pier Luca Montessoro Mirko Loghi Daniele Casagrande |
| author_facet | David Palma Pier Luca Montessoro Mirko Loghi Daniele Casagrande |
| author_sort | David Palma |
| collection | DOAJ |
| description | Carpooling enables multiple users with similar travel habits to share rides, reducing vehicles on the road, leading to benefits such as lower fuel consumption, reduced traffic congestion, and lower environmental impact. However, carpooling also poses a challenge to the privacy of the users, as they may not want to reveal their location or route information to others. This research study delves into a cutting‐edge approach to address these privacy concerns by leveraging homomorphic encryption (HE) within the realm of carpooling services. The proposed solution makes use of a HE scheme that supports encrypted computation on real numbers, which is suitable for carpooling applications that involve distance and time calculations. The approach enables decision makers to perform efficient and accurate route matching over encrypted data, without disclosing their sensitive information about users, thus preserving the confidentiality of the data. The proposed system is evaluated through extensive experiments and simulations, demonstrating its effectiveness in terms of both security and privacy when the system operates in normal (ideal) and abnormal (under attack) conditions. Experimental results indicate that the proposed solution offers robust resistance to various attacks, including replay attacks and data exposure, providing a robust and privacy‐centric solution for carpooling services. |
| format | Article |
| id | doaj-art-63da3dd30d31432db55913fae2c93d2d |
| institution | Kabale University |
| issn | 2640-4567 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj-art-63da3dd30d31432db55913fae2c93d2d2025-08-20T03:47:44ZengWileyAdvanced Intelligent Systems2640-45672025-05-0175n/an/a10.1002/aisy.202400507A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic EncryptionDavid Palma0Pier Luca Montessoro1Mirko Loghi2Daniele Casagrande3Polytechnic Department of Engineering and Architecture University of Udine 33100 Udine ItalyPolytechnic Department of Engineering and Architecture University of Udine 33100 Udine ItalyPolytechnic Department of Engineering and Architecture University of Udine 33100 Udine ItalyPolytechnic Department of Engineering and Architecture University of Udine 33100 Udine ItalyCarpooling enables multiple users with similar travel habits to share rides, reducing vehicles on the road, leading to benefits such as lower fuel consumption, reduced traffic congestion, and lower environmental impact. However, carpooling also poses a challenge to the privacy of the users, as they may not want to reveal their location or route information to others. This research study delves into a cutting‐edge approach to address these privacy concerns by leveraging homomorphic encryption (HE) within the realm of carpooling services. The proposed solution makes use of a HE scheme that supports encrypted computation on real numbers, which is suitable for carpooling applications that involve distance and time calculations. The approach enables decision makers to perform efficient and accurate route matching over encrypted data, without disclosing their sensitive information about users, thus preserving the confidentiality of the data. The proposed system is evaluated through extensive experiments and simulations, demonstrating its effectiveness in terms of both security and privacy when the system operates in normal (ideal) and abnormal (under attack) conditions. Experimental results indicate that the proposed solution offers robust resistance to various attacks, including replay attacks and data exposure, providing a robust and privacy‐centric solution for carpooling services.https://doi.org/10.1002/aisy.202400507confidential carpoolinghomomorphic encryptionprivacy preservationsecure computations |
| spellingShingle | David Palma Pier Luca Montessoro Mirko Loghi Daniele Casagrande A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption Advanced Intelligent Systems confidential carpooling homomorphic encryption privacy preservation secure computations |
| title | A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption |
| title_full | A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption |
| title_fullStr | A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption |
| title_full_unstemmed | A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption |
| title_short | A Privacy‐Preserving System for Confidential Carpooling Services Using Homomorphic Encryption |
| title_sort | privacy preserving system for confidential carpooling services using homomorphic encryption |
| topic | confidential carpooling homomorphic encryption privacy preservation secure computations |
| url | https://doi.org/10.1002/aisy.202400507 |
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