Evidence map›Paper›PMID 36433437›Full record

ArticleSensors (Basel, Switzerland)2022

Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Kazuto Sasai, Ryota Fukutani, Gen Kitagata, Tetsuo Kinoshita

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kazuto SasaiGraduate School of Science and Engineering, Ibaraki University, Hitachi 316-8511, Japan.ORCID 0000-0002-8920-5875
Ryota FukutaniResearch and Education Faculty, Humanities and Social Science Cluster, Education Unit, Kochi University, Kochi 780-8072, Japan.
Gen KitagataDepartment of English Language and Culture, Faculty of Humanities, Morioka University, Takizawa 020-0605, Japan.
Tetsuo KinoshitaResearch Institute of Electrical Communication, Tohoku University, Sendai 980-8577, Japan.ORCID 0000-0003-4789-856X

Funding

Japan Society for the Promotion of Science 22K12143
6 · The paper itself

Abstract

Although network management tasks are highly automated using big data and artificial intelligence technologies, when an unforeseen cybersecurity problem or fault scenario occurs, administrators sometimes directly analyze system data to make a heuristic decision. However, a wide variety of information is required to address complex cybersecurity risks, whereas current systems are focused on narrowing the candidates of information. In this study, we propose a multiagent-based data presentation mechanism (MADPM) that consists of agents operating data-processing tools that store and analyze network data. Agents in MADPM interact with other agents to form data-processing sequences. In this process, we design not only the composition of the sequence according to requirements, but also a mechanism to expand it to enable multifaceted analysis that supports heuristic reasoning. We tested five case studies in the prototype system implemented in an experimental network. The results indicated that the multifaceted presentation of data can support administrators more than the selected single-faceted optimal presentation. The final outcome of our proposed approach is the provision of a multifaceted and cross-system data presentation for heuristic inference in network management tasks.

Indexed as

Artificial IntelligenceComputer SecurityBig DataHeuristicsProblem Solvingdata analyticsdata presentationinformation recommendationmultiagent systemnetwork managementserendipity

Identifiers

PMID36433437
PMCPMC9697569

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.