Anonymized Network Sensing Graph Challenge Article Swipe
Hayden Jananthan
,
Michael G. Jones
,
William Arcand
,
David Bestor
,
William Bergeron
,
Daniel Burrill
,
Aydın Buluç
,
Chansup Byun
,
Timothy M. E. Davis
,
Vijay Gadepally
,
Daniel Grant
,
Michael E. Houle
,
Matthew Hubbell
,
Piotr Łuszczek
,
Peter Michaleas
,
Lauren Milechin
,
Chasen Milner
,
Guillermo Morales
,
Andrew M. Morris
,
Julie Mullen
,
Ritesh Patel
,
Alex Pentland
,
Sandeep Pisharody
,
Andrew Prout
,
Albert Reuther
,
Antonio Rosa
,
Gabriel Wachman
,
Charles Yee
,
Jeremy Kepner
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.08115
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.08115
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and scientific data to discover relationships between events as they unfold in the field. The anonymized network sensing Graph Challenge seeks to enable large, open, community-based approaches to protecting networks. Many large-scale networking problems can only be solved with community access to very broad data sets with the highest regard for privacy and strong community buy-in. Such approaches often require community-based data sharing. In the broader networking community (commercial, federal, and academia) anonymized source-to-destination traffic matrices with standard data sharing agreements have emerged as a data product that can meet many of these requirements. This challenge provides an opportunity to highlight novel approaches for optimizing the construction and analysis of anonymized traffic matrices using over 100 billion network packets derived from the largest Internet telescope in the world (CAIDA). This challenge specifies the anonymization, construction, and analysis of these traffic matrices. A GraphBLAS reference implementation is provided, but the use of GraphBLAS is not required in this Graph Challenge. As with prior Graph Challenges the goal is to provide a well-defined context for demonstrating innovation. Graph Challenge participants are free to select (with accompanying explanation) the Graph Challenge elements that are appropriate for highlighting their innovations.
Related Topics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.08115
- https://arxiv.org/pdf/2409.08115
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403663846
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403663846Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2409.08115Digital Object Identifier
- Title
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Anonymized Network Sensing Graph ChallengeWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-12Full publication date if available
- Authors
-
Hayden Jananthan, Michael G. Jones, William Arcand, David Bestor, William Bergeron, Daniel Burrill, Aydın Buluç, Chansup Byun, Timothy M. E. Davis, Vijay Gadepally, Daniel Grant, Michael E. Houle, Matthew Hubbell, Piotr Łuszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Andrew M. Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Gabriel Wachman, Charles Yee, Jeremy KepnerList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.08115Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2409.08115Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2409.08115Direct OA link when available
- Concepts
-
Computer science, Graph, Theoretical computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.that | 109, 211 |
| abstract_inverted_index.they | 31 |
| abstract_inverted_index.this | 178 |
| abstract_inverted_index.very | 64 |
| abstract_inverted_index.with | 60, 68, 98, 182 |
| abstract_inverted_index.(with | 204 |
| abstract_inverted_index.Graph | 40, 179, 184, 197, 208 |
| abstract_inverted_index.broad | 65 |
| abstract_inverted_index.novel | 123 |
| abstract_inverted_index.often | 80 |
| abstract_inverted_index.open, | 46 |
| abstract_inverted_index.prior | 183 |
| abstract_inverted_index.seeks | 42 |
| abstract_inverted_index.their | 216 |
| abstract_inverted_index.these | 114, 160 |
| abstract_inverted_index.using | 135 |
| abstract_inverted_index.world | 149 |
| abstract_inverted_index.access | 62 |
| abstract_inverted_index.enable | 44 |
| abstract_inverted_index.events | 29 |
| abstract_inverted_index.feeds, | 21 |
| abstract_inverted_index.field. | 35 |
| abstract_inverted_index.graphs | 12 |
| abstract_inverted_index.large, | 45 |
| abstract_inverted_index.media, | 19 |
| abstract_inverted_index.regard | 71 |
| abstract_inverted_index.select | 203 |
| abstract_inverted_index.sensor | 20 |
| abstract_inverted_index.social | 18 |
| abstract_inverted_index.solved | 59 |
| abstract_inverted_index.sparse | 14 |
| abstract_inverted_index.strong | 75 |
| abstract_inverted_index.unfold | 32 |
| abstract_inverted_index.between | 28 |
| abstract_inverted_index.billion | 138 |
| abstract_inverted_index.broader | 87 |
| abstract_inverted_index.buy-in. | 77 |
| abstract_inverted_index.context | 193 |
| abstract_inverted_index.derived | 16, 141 |
| abstract_inverted_index.emerged | 104 |
| abstract_inverted_index.highest | 70 |
| abstract_inverted_index.largest | 144 |
| abstract_inverted_index.network | 38, 139 |
| abstract_inverted_index.packets | 140 |
| abstract_inverted_index.privacy | 73 |
| abstract_inverted_index.product | 108 |
| abstract_inverted_index.provide | 190 |
| abstract_inverted_index.require | 81 |
| abstract_inverted_index.sensing | 39 |
| abstract_inverted_index.sharing | 101 |
| abstract_inverted_index.traffic | 96, 133, 161 |
| abstract_inverted_index.(CAIDA). | 150 |
| abstract_inverted_index.Internet | 145 |
| abstract_inverted_index.analysis | 130, 158 |
| abstract_inverted_index.discover | 26 |
| abstract_inverted_index.elements | 210 |
| abstract_inverted_index.federal, | 91 |
| abstract_inverted_index.matrices | 97, 134 |
| abstract_inverted_index.problems | 55 |
| abstract_inverted_index.provides | 118 |
| abstract_inverted_index.required | 176 |
| abstract_inverted_index.sharing. | 84 |
| abstract_inverted_index.standard | 99 |
| abstract_inverted_index.Challenge | 41, 198, 209 |
| abstract_inverted_index.GraphBLAS | 164, 173 |
| abstract_inverted_index.academia) | 93 |
| abstract_inverted_index.analyzing | 11 |
| abstract_inverted_index.challenge | 117, 152 |
| abstract_inverted_index.community | 4, 61, 76, 89 |
| abstract_inverted_index.highlight | 122 |
| abstract_inverted_index.matrices. | 162 |
| abstract_inverted_index.networks. | 51 |
| abstract_inverted_index.provided, | 168 |
| abstract_inverted_index.reference | 165 |
| abstract_inverted_index.solutions | 9 |
| abstract_inverted_index.specifies | 153 |
| abstract_inverted_index.telescope | 146 |
| abstract_inverted_index.Challenge. | 180 |
| abstract_inverted_index.Challenges | 185 |
| abstract_inverted_index.agreements | 102 |
| abstract_inverted_index.anonymized | 37, 94, 132 |
| abstract_inverted_index.approaches | 5, 48, 79, 124 |
| abstract_inverted_index.developing | 7 |
| abstract_inverted_index.encourages | 3 |
| abstract_inverted_index.networking | 54, 88 |
| abstract_inverted_index.optimizing | 126 |
| abstract_inverted_index.protecting | 50 |
| abstract_inverted_index.scientific | 23 |
| abstract_inverted_index.appropriate | 213 |
| abstract_inverted_index.innovation. | 196 |
| abstract_inverted_index.large-scale | 53 |
| abstract_inverted_index.opportunity | 120 |
| abstract_inverted_index.(commercial, | 90 |
| abstract_inverted_index.accompanying | 205 |
| abstract_inverted_index.construction | 128 |
| abstract_inverted_index.explanation) | 206 |
| abstract_inverted_index.highlighting | 215 |
| abstract_inverted_index.innovations. | 217 |
| abstract_inverted_index.participants | 199 |
| abstract_inverted_index.well-defined | 192 |
| abstract_inverted_index.construction, | 156 |
| abstract_inverted_index.demonstrating | 195 |
| abstract_inverted_index.relationships | 27 |
| abstract_inverted_index.requirements. | 115 |
| abstract_inverted_index.GraphChallenge | 2 |
| abstract_inverted_index.anonymization, | 155 |
| abstract_inverted_index.implementation | 166 |
| abstract_inverted_index.MIT/IEEE/Amazon | 1 |
| abstract_inverted_index.community-based | 47, 82 |
| abstract_inverted_index.source-to-destination | 95 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 29 |
| citation_normalized_percentile |