Our article titled: “Who’s to blame when driverless cars have an accident?” has just been published on The Conversation.
The article discusses how to determine who’s liable in autonomous vehicle accidents based on sensor data from these vehicles. It highlights our recently proposed framework for using blockchain to enable trust in the sensor data from these vehicles and to track interactions with them before and after an accident happens.
This work is part of our Blockchain for IoT Security and Privacy project.
Read the full article at the Conversation. The article has also been republished by the Australian Broadcasting Corporation and followed up by an interviews at TripleM and 2UE National Radios, and Sydney’s 2SER Radio.
Our recent Communications Magazine article on Blockchain for automotive application second most read in both January and February 2018. Congratulations to lead author/PhD student Ali Dorri and all the team!
Our article titled “Delay-tolerant networking for long-term animal tracking” has just been published as a feature article at IEEE Internet Computing. Access the full article here.
Our recent article at IEEE Communications Magazine has featured at the Altoros blog in an article titled: Automotive Blockchain: from Manufacturing to Security to Insurance.
I have recently joined the technical program committee of the IEEE International Conference on Blockchain, to be held in Halifax Canada in July/August 2018.
The Distributed Sensing Systems Group is hiring a new postdoctoral research fellow in Data and Network Science. The postdoc will work in our growing project exploring data fusion of mobility data streams for disease spread prediction. Interested candidates should submit their application documents through the CSIRO jobs site.
Our article titled “BlockChain: A Distributed Solution to Automotive Security and Privacy” at IEEE Communications Magazine. The abstract for this article is available below:
Interconnected smart vehicles offer a range of sophisticated services that benefit the vehicle owners, transport authorities, car manufacturers, and other service providers. This potentially exposes smart vehicles to a range of security and privacy threats such as location tracking or remote hijacking of the vehicle. In this article, we argue that blockchain (BC), a disruptive tech- nology that has found many applications from cryptocurrencies to smart contracts, is a potential solution to these challenges. We propose a BC-based architecture to protect the privacy of users and to increase the security of the vehicular ecosystem. Wireless remote software updates and other emerging services such as dynamic vehicle insurance fees are used to illustrate the efficacy of the proposed security architecture. We also qualitatively argue the resilience of the architecture against common security attacks.
The full paper is available on IEEE Explore.