Ledwaba, LPIHancke, GPMitrokotsa, AIsaac, Sherrin J2021-04-062021-04-062020-10Ledwaba, L., Hancke, G., Mitrokotsa, A. & Isaac, S.J. 2020. A delegated proof of proximity scheme for industrial internet of things consensus. http://hdl.handle.net/10204/11951 .978-1-7281-5414-5978-1-7281-5413-8978-1-7281-5415-2DOI: 10.1109/IECON43393.2020.9254661https://ieeexplore.ieee.org/document/9254661http://hdl.handle.net/10204/11951Recently, work with Distributed Ledger Technologies (DLTs) has focussed on leveraging the decentralised, immutable ledger for use outside of cryptocurrency. One industry poised to benefit from DLTs is the Industrial Internet of Things (IIoT); as the inherent cryptographic mechanisms and alternative trust model make DLTs an attractive solution for distributed networks. Existing DLTs are unsuitable for the IIoT, owing to the large computational and energy requirements for consensus operations and the slow throughput of validated blocks. With limited processing, energy and storage resources and a deadline sensitive operational environment, DLTs in their current state could serve to introduce intolerable latency into IIoT processes and deplete constrained, device resources. Designed for the IIoT context, and based off Delegated Proof of Stake, this work serves to introduce a new consensus mechanism called Delegated Proof of Proximity (DPoP). Using existing location discovery processes, nodes in close proximity to a sensor event are elected as delegates; whose role is to handle consensus and block generation. In using information already known to IIoT devices, DPoP aims to reduce wasted effort, improve throughput by limiting the number of nodes required for consensus operations and improve scalability and flexibility of DLT solutions as the IIoT network continues to grow.FulltextenBlockchainConsensusDelegated Proof of ProximityDistributed Ledger TechnologiesDLTsIndustrial Internet of ThingsIIoTConference PresentationLedwaba, L., Hancke, G., Mitrokotsa, A., & Isaac, S. J. (2020). A delegated proof of proximity scheme for industrial internet of things consensus. http://hdl.handle.net/10204/11951Ledwaba, LPI, GP Hancke, A Mitrokotsa, and Sherrin J Isaac. "A delegated proof of proximity scheme for industrial internet of things consensus." <i>46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Singapore, 18-21 October 2020</i> (2020): http://hdl.handle.net/10204/11951Ledwaba L, Hancke G, Mitrokotsa A, Isaac SJ, A delegated proof of proximity scheme for industrial internet of things consensus; 2020. http://hdl.handle.net/10204/11951 .TY - Conference Presentation AU - Ledwaba, LPI AU - Hancke, GP AU - Mitrokotsa, A AU - Isaac, Sherrin J AB - Recently, work with Distributed Ledger Technologies (DLTs) has focussed on leveraging the decentralised, immutable ledger for use outside of cryptocurrency. One industry poised to benefit from DLTs is the Industrial Internet of Things (IIoT); as the inherent cryptographic mechanisms and alternative trust model make DLTs an attractive solution for distributed networks. Existing DLTs are unsuitable for the IIoT, owing to the large computational and energy requirements for consensus operations and the slow throughput of validated blocks. With limited processing, energy and storage resources and a deadline sensitive operational environment, DLTs in their current state could serve to introduce intolerable latency into IIoT processes and deplete constrained, device resources. Designed for the IIoT context, and based off Delegated Proof of Stake, this work serves to introduce a new consensus mechanism called Delegated Proof of Proximity (DPoP). Using existing location discovery processes, nodes in close proximity to a sensor event are elected as delegates; whose role is to handle consensus and block generation. In using information already known to IIoT devices, DPoP aims to reduce wasted effort, improve throughput by limiting the number of nodes required for consensus operations and improve scalability and flexibility of DLT solutions as the IIoT network continues to grow. DA - 2020-10 DB - ResearchSpace DP - CSIR J1 - 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), Singapore, Singapore, 18-21 October 2020 KW - Blockchain KW - Consensus KW - Delegated Proof of Proximity KW - Distributed Ledger Technologies KW - DLTs KW - Industrial Internet of Things KW - IIoT LK - https://researchspace.csir.co.za PY - 2020 SM - 978-1-7281-5414-5 SM - 978-1-7281-5413-8 SM - 978-1-7281-5415-2 T1 - A delegated proof of proximity scheme for industrial internet of things consensus TI - A delegated proof of proximity scheme for industrial internet of things consensus UR - http://hdl.handle.net/10204/11951 ER -24201