Visualizing the Provenance of Personal Data using Comics

Schreiber, Andreas; Struminski, Regina

doi:10.20944/preprints201712.0153.v1

Cited by 7 publications

(7 citation statements)

References 13 publications

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“…It is important to note that this is only a proof-of-concept frontend for typical consumers. Future IoT platforms which adopt the ProvThings approach can design better presentation such as provenance comics [68] to meet their usability requirements for typical consumers.…”

Section: Typical Consumersmentioning

confidence: 99%

Fear and Logging in the Internet of Things

Wang¹,

Hassan²,

Bates³

et al. 2018

Proceedings 2018 Network and Distributed System Security Symposium

153

103

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Abstract-As the Internet of Things (IoT) continues to proliferate, diagnosing incorrect behavior within increasinglyautomated homes becomes considerably more difficult. Devices and apps may be chained together in long sequences of triggeraction rules to the point that from an observable symptom (e.g., an unlocked door) it may be impossible to identify the distantly removed root cause (e.g., a malicious app). This is because, at present, IoT audit logs are siloed on individual devices, and hence cannot be used to reconstruct the causal relationships of complex workflows. In this work, we present ProvThings, a platform-centric approach to centralized auditing in the Internet of Things. ProvThings performs efficient automated instrumentation of IoT apps and device APIs in order to generate data provenance that provides a holistic explanation of system activities, including malicious behaviors. We prototype ProvThings for the Samsung SmartThings platform, and benchmark the efficacy of our approach against a corpus of 26 IoT attacks. Through the introduction of a selective code instrumentation optimization, we demonstrate in evaluation that ProvThings imposes just 5% overhead on physical IoT devices while enabling real time querying of system behaviors, and further consider how ProvThings can be leveraged to meet the needs of a variety of stakeholders in the IoT ecosystem.

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Section: Typical Consumersmentioning

confidence: 99%

Fear and Logging in the Internet of Things

Wang¹,

Hassan²,

Bates³

et al. 2018

Proceedings 2018 Network and Distributed System Security Symposium

153

103

View full text Add to dashboard Cite

show abstract

“…Often, it is necessary to understand how a piece of data is produced or processed. Insights into how the data was processed is an essential part of trusting the data [32]. Previous work mainly addresses this by creating tools that allow the author to curate their work to be more presentable [28] while allowing the reader to explore these hidden components for further detail.…”

Section: Collaboration In Data Sciencementioning

confidence: 99%

“…When compared to text only [2] or illustrated text [26], comics have been shown to demonstrate increased memorability. When compared to a graph or a long paragraph of continuous text, comics are less strenuous to read [32]. The linear narrative structure serves as a guide by the author that shows increased understanding [11].…”

Section: Data Comicsmentioning

confidence: 99%

ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

Kang

Marquardt

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Figure 1: ToonNote is a novel technique for representing computational notebooks in the form of interactive data comics: Notebook View uses the traditional computational notebook's format (using a combination of markdown/code/output), which affords detailed analysis, but makes it difficult to easily comprehend the high-level story behind the data. Therefore, ToonNote provides a high-level, curated narrative of the dataset in Comic View. The author can choose different markdown (A) and outputs (B) which can be combined in single or multiple (C) comic frames. When viewing the data in the Comic View, readers can focus on data storytelling, and not be hindered by code, unnecessary outputs, or markdown -and can switch back to the Notebook View when needed.

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“…A research proposes a visualization framework to help the understanding and usage of provenance data using ontologies and techniques for networks in the E‐SECO scientific ecosystem for scientific experiments 10 . The comic strips were generated from recorded provenance graphs based on the quantified self‐workflows interactively in a visualization study 11 . The visualization tool Probe‐It helps scientists from five domains to identify and explain map imperfections with provenance visualization knowledge 12 …”

Section: Literature Reviewmentioning

confidence: 99%

A novel visualization approach for data provenance

Yazici

Aktaş

2021

Concurrency and Computation

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Data provenance has led to a developing need for the technologies to empower end-users to assess and take action on the data life cycle. In the Big Data era, companies' amount of data over the world increases each day. As data increases, metadata on the data origin and lifecycle of data also overgrows. Thus, this requires innovations that can provide a better understanding and interpretation of data using data provenance. This study addresses the challenge of extracting data in the form of graphs from scientific workflows and facilitating demanded visualization approaches such as graph comparison, summarization, backward-forward querying, and stream data visualization. W3C-PROV-O provenance specification is implemented via a visualization tool to assess the applicability of proposed algorithms. The proposed algorithms are tested on a large-scale provenance dataset to explore their performance. In addition, this study discusses the details of a comprehensive usability study of the prototype visualization tool. Results indicate that proposed visualization approaches are usable and processing overhead is insignificant.

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Visualizing the Provenance of Personal Data using Comics

Cited by 7 publications

References 13 publications

Fear and Logging in the Internet of Things

Fear and Logging in the Internet of Things

ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

A novel visualization approach for data provenance

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