What is Distributed Ledger Technology (DLT)?
Abstract not provided.
Publications
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track
International Journal of Medical Informatics
Background: Blockchain distributed ledger technology is just starting to be adopted in genomics and healthcare applications. Despite its increased prevalence in biomedical research applications, skepticism regarding the practicality of blockchain technology for real-world problems is still strong and there are few implementations beyond proof-of-concept. We focus on benchmarking blockchain strategies applied to distributed methods for sharing records of gene-drug interactions. We expect this type of sharing will expedite personalized medicine. Basic Procedures: We generated gene-drug interaction test datasets using the Clinical Pharmacogenetics Implementation Consortium (CPIC) resource. We developed three blockchain-based methods to share patient records on gene-drug interactions: Query Index, Index Everything, and Dual-Scenario Indexing. Main Findings: We achieved a runtime of about 60 s for importing 4,000 gene-drug interaction records from four sites, and about 0.5 s for a data retrieval query. Our results demonstrated that it is feasible to leverage blockchain as a new platform to share data among institutions. Principal Conclusions: We show the benchmarking results of novel blockchain-based methods for institutions to share patient outcomes related to gene-drug interactions. Our findings support blockchain utilization in healthcare, genomic and biomedical applications. The source code is publicly available at https://github.com/tsungtingkuo/genedrug.
Development of Novel Approaches to Anomaly Detection and Surety for Safeguards Data - Year Two and Three Results
Abstract not provided.
Privacy-Preserving AutoML
Abstract not provided.
Development of Novel Approaches to Anomaly Detection and Surety for Safeguards Data - Year Two and Three Results
Abstract not provided.
Privacy-Preserving AutoML
Abstract not provided.
Anomaly Detection and Surety for Safeguards Data
Abstract not provided.
Panel Position Statement for Quantifiable Assurance: The Good the Bad and the Future
Abstract not provided.
Development of Novel Approaches to Anomaly Detection and Surety for Safeguards Data - Year One Results
Abstract not provided.
Development of Novel Approaches to Anomaly Detection and Surety for Safeguards Data - Year One Results
Abstract not provided.
Anomaly Detection and Surety for Safeguards Data
Abstract not provided.
Prototype Distributed Ledger Technology of UF6 Cylinder Tracking in Ethereum
We have created a demonstration permissioned Distributed Ledger Technology (DLT) datastore for the UF6 cylinder tracking safeguards use-case utilizing the Ethereum DLT framework and using Solidity for smart contract code. Our demonstration creates a simulated dataset representing tracking of 75,000 UF6 cylinders across 11 example nuclear facilities worldwide. Our DLT system allows for easy input and reading of shipping and receiving data, including a Graphical User Interface (GUI). Sandia’s Emulytics capability was leveraged to help create the DLT node network and assess performance. We find that our DLT prototype can easily handle to ~150,000 UF6 cylinder shipments per year worldwide, without any excessive computational or storage burden on the IAEA or Member States. Next steps could include a demonstration to the IAEA and potentially demonstrating integration with TradeLens, a DLT in use by a consortium of international shipping companies representing over half of world shipping trade.
Fabrication Data Sources for Rad Hard
Abstract not provided.
iDASH 2019 ? Track 1 Methods
Abstract not provided.
Proteus: A DLT-Agnostic Emulation and Analysis Framework
Abstract not provided.
Anomaly Detection and Surety for Safeguards Data
Abstract not provided.
Proteus: A DLT-Agnostic Emulation and Analysis Framework
Abstract not provided.
Development of Novel Approaches to Anomaly Detection and Surety for Safeguards Data
Abstract not provided.
Anomaly Detection and Surety for Safeguards Data
Abstract not provided.
Proteus: A DLT-agnostic emulation and analysis framework
12th USENIX Workshop on Cyber Security Experimentation and Test, CSET 2019, co-located with USENIX Security 2019
This paper presents Proteus, a framework for conducting rapid, emulation-based analysis of distributed ledger technologies (DLTs) using FIREWHEEL, an orchestration tool that assists a user in building, controlling, observing, and analyzing realistic experiments of distributed systems. Proteus is designed to support any DLT that has some form of a “transaction” and which operates on a peer-to-peer network layer. Proteus provides a framework for an investigator to set up a network of nodes, execute rich agent-driven behaviors, and extract run-time observations. Proteus relies on common features of DLTs to define agent-driven scenarios in a DLT-agnostic way allowing for those scenarios to be executed against different DLTs. We demonstrate the utility of using Proteus by executing a 51% attack on an emulated Ethereum network containing 2000 nodes.
Genomic Privacy and Security
Abstract not provided.
iDASH2018 Track 1 methods
Abstract not provided.
Is Blockchain the Answer?
Abstract not provided.
Sandia (think TED) Talk 2018
Abstract not provided.
Blockchain Discussion
Abstract not provided.
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