Conference
Towards an Ontology-enabled Chatbot for Assisting IoT Privacy-by-Design
ACM CCS Workshop on Decentralized IoT Systems and Security (DISS), 2022.
Research Programme
Knowledge Driven Privacy by Design for IoT
(2018-2022)
Project Overview
Builds Privacy Captain, a knowledge-based AI assistant that annotates IoT designs with privacy patterns to reduce breakdowns in software design processes.
The project develops AI-based techniques to assist software engineers in incorporating Privacy by Design (PbD) into IoT application development. IoT applications require both software and hardware to cooperate across multiple nodes with different capabilities, making privacy considerations complex.
Privacy Captain semantically models privacy patterns and IoT systems using knowledge-based AI so engineers can automatically apply Privacy-by-Design techniques during early design stages.
Research Objectives:
- Review and synthesize privacy-by-design schemes through analyzing existing privacy strategies in IoT contexts
- Create semantic models of privacy patterns and IoT systems using knowledge-based AI
- Develop and evaluate PRIVACY CAPTAIN (Context-Aware Privacy Assistant for the Internet of Things)
Team
Lamya Alkhariji
Omer Rana
Charith Perera
Partners
PETRAS 2
Outcomes
Journal
Synthesising Privacy by Design Knowledge Toward Explainable Internet of Things Application Designing in Healthcare
ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Vol. 17, Iss. 3s, 2021.
Journal
Semantics-based Privacy by Design for Internet of Things Applications
Future Generation Computer Systems, Vol. 138, 2023, pp. 280-295.
Magazine
Tool Support for Privacy-Aware Internet of Things Application Design
IEEE Internet of Things Magazine, Vol. 4, Iss. 4, 2021, pp. 54-59.