A Novel Image-Based Homomorphic Approach for Preserving the Privacy of Autonomous Vehicles Connected to the Cloud

Aiman Sultan, Shahzaib Tahir, Hasan Tahir, Tayyaba Anwer, Fawad Khan, Muttukrishnan Rajarajan, Omer Rana

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Autonomous vehicles are taking a leap forward by performing operations without human intervention through continuous monitoring of their surroundings using multiple sensors. Images gathered through vehicle mounted cameras can be large, requiring specialized storage such as cloud. However, cloud data centres can be prone to security and privacy challenges. A partial image-based, homomorphic searchable encryption scheme is proposed, which uses pixel-level encryption to identify objects within encrypted images. The scheme provides Object-Trapdoor and Trapdoor-Image indistinguishability - as the trapdoors are probabilistic. The proposed scheme is deployed on a cloud data centre and tested over a real data set. The proposed scheme reduces storage overhead by approximately 20 times, and is 33 times more efficient compared to the generic Paillier homomorphic searchable encryption scheme. Security analysis demonstrates that the scheme maintains high levels of security and privacy.

Original languageEnglish
Pages (from-to)1936-1948
Number of pages13
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number2
Early online date10 Nov 2022
Publication statusPublished - 1 Feb 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2000-2011 IEEE.


National Centre for Cyber Security, Pakistan, under the Project titled “Privacy Preserving Search over Sensitive Data Stored in the Cloud;”
10.13039/501100000266-U.K. Engineering and Physical Sciences Research Council (EPSRC) “Sustainable Urban Power Supply Through Intelligent Control and Enhanced Restoration of AC/DC Networks,” (Grant Number: EP/T021985/1)


  • Paillier homomorphic encryption
  • partial image encryption
  • searchable encryption

ASJC Scopus subject areas

  • Mechanical Engineering
  • Automotive Engineering
  • Computer Science Applications


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