Enabling Decentralized Privacy Preserving Data Processing in Sensor Networks

Niki Hrovatin


The paper summarizes the findings of the Doctoral Thesis [1]. We propose a paradigm shift from traditional privacy-preserving joint computation, which relies on data obfuscation methods, to privacy preservation through anonymity. The main contribution of the thesis is a privacy-preserving protocol based on the Onion Routing concept that allows sensor network nodes to jointly compute an arbitrary function and keeps the participating nodes and their inputs private. We demonstrate the protocol's security and, through simulations, its effectiveness in large sensor networks.

Full Text:



N. Hrovatin, Omogočanje decentralizirane obdelave

podatkov z varovanjem zasebnosti v senzorskih

omrežjih: doktorska disertacija. PhD thesis, Uni-

verza na Primorskem, Fakulteta za matematiko,

naravoslovje in . . . , 2023.

I. Tomić and J. A. McCann, “A survey of poten-

tial security issues in existing wireless sensor net-

work protocols,” IEEE Internet of Things Journal,

vol. 4, no. 6, pp. 1910–1923, 2017.

A. Sorniotti, L. Gomez, K. Wrona, and L. Odorico,

“Secure and trusted in-network data processing in

wireless sensor networks: a survey,” Journal of In-

formation Assurance and Security, vol. 2, no. 3,

pp. 189–199, 2007.

N. Hrovatin, A. Tošić, M. Mrissa, and J. Vičič, “A

general purpose data and query privacy preserv-

ing protocol for wireless sensor networks,” IEEE

Transactions on Information Forensics and Secu-

rity, 2023.

DOI: https://doi.org/10.31449/inf.v48i1.5739

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.