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Analyzing Discrepancies in Whole-Network Provenance
Data provenance describes the origins of a digital object. This information is particularly useful when analyzing distributed workflows because...
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Smart flow: a provenance-supported smart contract workflow architecture
As blockchain technology continues to mature, its potential for use in workflow systems has garnered considerable attention. However, the adoption of...
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Encoding feature set information in heterogeneous graph neural networks for game provenance
AbstractGame Provenance has been proposed and employed for Game Analytics tasks as they capture game session data in detail and allow exploratory...
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Tracking social provenance in chains of retweets
In the era of massive sharing of information, the term social provenance is used to denote the ownership, source or origin of a piece of information...
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Ontology of Product Provenance for Value Networks
The economic issues surrounding value networks have received much attention from the research community in business modeling. However, other aspects...
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BinAlign: Alignment Padding Based Compiler Provenance Recovery
Compiler provenance is significant in investigating the source-level indicators of binary code, like development-environment, source compiler, and...
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Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model
Data provenance can effectively ensure the correctness of data mining results. To realize efficient and trusty data provenance, we propose an...
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Workflow Provenance with PREMIS
In much the same way that ProvONE extends PROV beyond its original boundaries to address the full temporal spectrum of provenance, this chapter takes...
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Image Provenance Analysis
The literature of multimedia forensics is mainly dedicated to the analysis of single assets (such as sole image or video files), aiming at...
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Using the uniqueness of global identifiers to determine the provenance of Python software source code
We consider the problem of identifying the provenance of free/open source software (FOSS) and specifically the need of identifying where reused...
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Visionary: a framework for analysis and visualization of provenance data
Provenance is recognized as a central challenge to establish the reliability and provide security in computational systems. In scientific workflows,...
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Automated and non-intrusive provenance capture with UML2PROV
Data provenance is a form of knowledge graph providing an account of what a system performs, describing the data involved, and the processes carried...
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Provenance-Preserving Analysis and Rewrite of Quantum Workflows for Hybrid Quantum Algorithms
Quantum applications are hybrid, i.e., they comprise quantum and classical programs, which must be orchestrated. Workflows are a proven solution for...
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Systematic Literature Review on Data Provenance in Internet of Things
Internet of Things(IoT) is a concept that develops day by day and is now an indispensable part of our lives. Although it has been developed a lot, it...
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Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database
Social media has been playing a vital importance in information sharing at massive scale due to its easy access, low cost, and faster dissemination...
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An evolutionary algorithmic framework cloud based evidence collection architecture
Forensic in cloud computing is an advancement of evolutionary modern forensic science that protects against cyber criminals. Single centralize point...
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A Provenance-based Execution Strategy for Variant GPU-accelerated Scientific Workflows in Clouds
Several complex scientific simulations process large amounts of distributed and heterogeneous data. These simulations are commonly modeled as...
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ProML: A Decentralised Platform for Provenance Management of Machine Learning Software Systems
Large-scale Machine Learning (ML) based Software Systems are increasingly developed by distributed teams situated in different trust domains. Insider...
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Secure Data Transfer and Provenance for Distributed Healthcare
The rise of the Internet of Things (IoT) has enabled a shift to a smart, remote, and more distributed healthcare ecosystem supported by...
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ProvAnalyser: A Framework for Scientific Workflows Provenance
The increasing ability of data-driven science is resulting in a growing need for applications that are under the control of data-centric workflows,...