With the growing scale and prevalence of Internet of Things sensors in our daily lives, trusting these sensors and systems to deliver reliable data while maintaining our security and privacy is a critical consideration. The IoT network architecture requires decentralised and lightweight approaches for delivering trust, while most conventional approaches are either centralised or computationally demanding.
There has been increasing interest in adopting BlockChain (BC), that underpins the crypto-currency Bitcoin, in Internet of Things (IoT) for security and privacy. However, BCs are computationally expensive and involve high bandwidth overhead and delays, which are not suitable for most IoT devices.
This project, which is a collaboration between Data61 and UNSW, has designed a lightweight scalable blockchain (LSB) architecture for IoT that virtually eliminates the overheads of classic BC, while maintaining most of its security and privacy benefits. IoT devices benefit from a private immutable ledger, that acts similar to BC but is managed centrally, to optimize energy consumption. High resource devices create an overlay network to implement a publicly accessible distributed BC that ensures end-to-end security and privacy. The proposed architecture uses distributed trust to reduce the block validation processing time.
Our approach has the following features
The table below compares our design to the classic bitcoin blockchain:
|Feature||Bitcoin BlockChain||Immutable Ledger||Public BlockChain|
|Double spending||Not acceptable||Not applicable||Not applicable|
The figure below illustrates the local network design in a smart home scenario:
while the transaction flow is shown in the figure below
This design is being explored for various sectors, from supply chains and smart homes, to automotive and smart grids.
An increased incidence of food mislabeling and handling in recent years has led to consumers demanding transparency in how food items are produced and handled. The current traceability solutions suffer from issues such as scattering of information across multiple silos and susceptibility in record- ing erroneous data and thus are often unable to produce reliable farm to fork stories of products. Blockchain (BC) is a promising technology that could play an important role in providing data transparency and integrity due to its salient features which include decentralization, immutability and auditability. In this work, we propose a permissioned blockchain framework which is governed by a consortium of key Food Supply Chain (FSC) entities including government and regulatory bodies to promote food provenance. We propose to use a sharded, three-tiered architecture which ensures availability of data to consumers, limits access to competitive partners and provides scalability for handling transaction load. We also propose a transaction vocabulary and access rights to manage read and write privileges to BC supported by the consortium. The framework ensures that trade flows are kept confidential when provenance information is retrieved by consumers and stakeholders.
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. We show that blockchain (BC), a disruptive technology 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.
A key application of blockchain in the automotive sector is for liability assignment, particular for partially or fully autonomous vehicles. We propose a partitioned BlockChain based Framework for Auto-insurance Claims and Adjudication (B-FICA) for CAVs that tracks both sensor data and entity in- teractions with two-sided verification. B-FICA uses permissioned BC with two partitions to share information on a need to know basis. It also uses multi-signed transactions for proof of execution of instructions, for reliability and auditability and also uses a dynamic lightweight consensus and validation protocol to prevent evidence alteration.
Blockchain is an immutable distributed database. It supports traceability and audibility of large scale systems, including IoT. This immutability may be at odds with new legislation, such as the EU General Data Protection Regulation (GDPR) which supports the right to be forgotten by removing data from third party records once it has served its purpose. We propose a Memory Optimized and Flexi- ble BC (MOF-BC) that enables the IoT users and service providers to remove or summarize their transactions and age their data and to exercise the ”right to be forgotten”. To increase privacy, a user may employ multiple keys for different transactions. To allow for the removal of stored transactions, all keys would need to be stored which complicates key management and storage. MOF-BC introduces the notion of a Generator Verifier (GV) which is a signed hash of a Generator Verifier Secret (GVS). The GV changes for each transaction to provide privacy yet is signed by a unique key, thus minimizing the information that needs to be stored. A flexible transaction fee model and a reward mechanism is proposed to incentivize users to participate in optimizing memory consump- tion.
The Conversation: Who’s to blame when driverless cars have an accident?, republished by the Australian Broadcasting Corporation and the New Zealand Herald.
TripleM National Radio Interview, March 20, 2018
2UE National Radio Interview, March 21, 2018
Radio Adelaide interview, April 9, 2018
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