News

Our Blockchain for CPS book has arrived!

The Blockchain for CPS book has arrived! This authored book is on Blockchain for Cyberphysical Systems, published by Artech House. It covers the challenges, opportunities, and applications of blockchain in CPS & IoT. The book is authored by TruNet Lab members Dr. Ali Dorri and Prof. Raja Jurdak, and Prof. Salil Kanhere from UNSW. The book also had several contributors to individual chapters, including: Dr. Volkan DedeogluSidra Malik, Dr. Fengji LUOPooja Gupta, and Dr. Chuka Oham.

A. Dorri, S. Kanhere, R. Jurdak. Blockchain for Cyberphysical Systems, Artech House, ISBN: 978-1630817831, 2020.

Our blockchain papers continue to top Google Scholar rankings

Four of our papers on blockchain have been ranked among the most cited articles at their venues by the most recent Google Scholar Metrics 2020.

Two of our papers have been ranked as the most cited papers at their respective venues by far. Our paper:

A. Dorri, S. Kanhere, R. Jurdak., and P. Gauravaram, “Blockchain for IoT Security and Privacy: The Case Study of a Smart Home,” In proceedings of the 2nd IEEE Workshop on security, privacy, and trust in the Internet of things (PERCOM), Hawaii, USA, March, 2017.

is the most cited paper at Percom workshops with 726 citations in the last 5 years, with around five times the number of citations for the 2nd ranked paper:

Our paper:

A. Dorri, S. Kanhere, and R. Jurdak, “Towards an Optimized BlockChain for IoT,” In proceedings of the 2nd IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI 2017), as part of CPSWeek, Pittsburgh, USA, April, 2017.

is the most cited paper at ACM International Conference on Internet-of-Things Design and Implementation (IOT-DI) with 335 citations, with around 2.5 times the number of citations for the 2nd ranked paper:

Our paper on lightweight scalable blockchain, published in December 2019:

A. Dorri, S. Kanhere, R. Jurdak, P. Gauravaram, LSB: A Lightweight Scalable BlockChain for IoT Security and Anonymity,  Journal of Parallel and Distributed Computing, 134: 180-197, December, 2019.

is the 6th most cited paper at the Journal of Parallel and Distributed Computing over the last 5 years:

Our paper on blockchain for automotive security and privacy with blockchain:

A. Dorri, M. Steger, S. Kanhere, and R. Jurdak, “BlockChain: A Distributed Solution to Automotive Security and Privacy”, IEEE Communications Magazine, Volume 55, Issue 12, pages 119-125, December, 2017.

has been ranked as 30th most cited paper at IEEE Communication Magazine (#2 publication venue in Computer Networks and Wireless Communications & Impact Factor 12.730) in the past 5 years.

Research Fellow in Trusted Observational Data position available

We are looking for a creative and capable researcher to join us in developing new ideas and opportunities on observational data trust. We seek someone with skills in one or more of the following: Internet of Things, data fusion, trust and reputation systems, decentralised algorithms, blockchain. The research fellow will have an opportunity to define new research directions, based on consultation with project teams, their own research background, and linkages to industry projects in CSIRO and QUT. Interested candidates should apply via the QUT job site.

Research Fellow position available at QUT

The School of Electrical Engineering and Computer Science, Science & Engineering Faculty (SEF), QUT are seeking to fill a newly created position of Research Fellow Distributed systems, Blockchain and IoT. The research fellow will work collaboratively with a team of research fellows and postgraduate students to identify new opportunities for blockchain technologies in cyberphysical systems to enhance trust, productivity and economic growth. Details on the role can be found at Jobs at QUT

DiNeMo project named Eureka finalist!

Eureka Prizes 2019 FinalistsOur Disease Networks and Mobility project (DiNeMo) has been named as finalist for the UNSW Eureka Prize for Excellence in Interdisciplinary Scientific Research. DiNeMo is a real-time surveillance system for human infectious diseases, such as dengue. By combining expertise, data and methods from epidemiology, transport engineering, biosecurity and data science, DiNeMo enables hospitals and biosecurity agencies to predict when and where a disease outbreak is likely to occur, enabling efficient diagnosis and treatment. Watch this video to learn more about this project:

Two papers most cited at their venues

Two of our papers on blockchain have topped the most cited papers at their venues over the last 5 years. Our paper “Blockchain for IoT Security and Privacy: The Case Study of a Smart Home” is the most cited paper at Percom workshops over the last 5 years:

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Our paper “Towards an Optimized BlockChain for IoT” is the most cited paper at IoTDI:

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