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Network Data Monetization Using Net2Vec

Authors:

Roberto Gonzalez,

Alberto Garcia-Duran,

Filipe Manco,

Mathias Niepert,

Pelayo VallinaAuthors Info & Claims

SIGCOMM Posters and Demos '17: Proceedings of the SIGCOMM Posters and Demos

Pages 37 - 39

https://doi.org/10.1145/3123878.3131978

Published: 22 August 2017 Publication History

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References

[1]

Communication Market Report 2016. https://www.ofcom.org.uk/__data/assets/pdf_file/0024/26826/cmr_uk_2016.pdf, August 2016.

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Carrascosa, J. M., Mikians, J., Cuevas, R., Erramilli, V., and Laoutaris, N. I always feel like somebody's watching me: measuring online behavioural advertising. In Proceedings of the 11th ACM CoNEXT (2015), ACM.

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[3]

Gonzalez, R., Manco, F., Garcia-Duran, A., Mendes, J., Huici, F., Niccolini, S., and Niepert, M. Net2vec: Deep learning for the network. arXiv preprint arXiv:1705.03881 {cs.NI} (2017).

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[4]

Gonzalez, R., Soriente, C., and Laoutaris, N. User profiling in the time of https. In Proceedings of the 2016 ACM on IMC (2016), ACM.

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[5]

Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., and Dean, J. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems (2013).

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Cited By

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Samanta RSadhukhan BSamaddar HSarkar SKoner CGhosh M(2022)Scope of machine learning applications for addressing the challenges in next‐generation wireless networksCAAI Transactions on Intelligence Technology10.1049/cit2.121147:3(395-418)Online publication date: 30-Jun-2022
https://doi.org/10.1049/cit2.12114
G. DKaregowda A(2021)Deep Learning in IoTDeep Learning Applications and Intelligent Decision Making in Engineering10.4018/978-1-7998-2108-3.ch001(1-54)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-2108-3.ch001
Piao GNicholson PLugones DBilas AMagoutis KMarkatos EKostic DSeltzer M(2020)Env2VecProceedings of the Fifteenth European Conference on Computer Systems10.1145/3342195.3387525(1-16)Online publication date: 15-Apr-2020
https://dl.acm.org/doi/10.1145/3342195.3387525
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Index Terms

Network Data Monetization Using Net2Vec
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Networks

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Information

Published In

SIGCOMM Posters and Demos '17: Proceedings of the SIGCOMM Posters and Demos

August 2017

158 pages

ISBN:9781450350570

DOI:10.1145/3123878

Co-chairs:
Jeff Burke
UCLA
,
Matthias Wählisch
Freie Universität Berlin
,
Nicholas Zhang
Huawei Technologies, China
,
David Meyer
University of Oregon/Brocade
,
Puneet Sharma
Hewlett Packard Labs

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2017

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Demonstration
Research
Refereed limited

Funding Sources

Horizon 2020

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SIGCOMM '17

Sponsor:

SIGCOMM

SIGCOMM '17: ACM SIGCOMM 2017 Conference

August 22 - 24, 2017

CA, Los Angeles, USA

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Overall Acceptance Rate 92 of 158 submissions, 58%

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Cited By

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Samanta RSadhukhan BSamaddar HSarkar SKoner CGhosh M(2022)Scope of machine learning applications for addressing the challenges in next‐generation wireless networksCAAI Transactions on Intelligence Technology10.1049/cit2.121147:3(395-418)Online publication date: 30-Jun-2022
https://doi.org/10.1049/cit2.12114
G. DKaregowda A(2021)Deep Learning in IoTDeep Learning Applications and Intelligent Decision Making in Engineering10.4018/978-1-7998-2108-3.ch001(1-54)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-2108-3.ch001
Piao GNicholson PLugones DBilas AMagoutis KMarkatos EKostic DSeltzer M(2020)Env2VecProceedings of the Fifteenth European Conference on Computer Systems10.1145/3342195.3387525(1-16)Online publication date: 15-Apr-2020
https://dl.acm.org/doi/10.1145/3342195.3387525
Zhang CPatras PHaddadi H(2019)Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2019.290489721:3(2224-2287)Online publication date: Nov-2020
https://doi.org/10.1109/COMST.2019.2904897

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