Differentially-private big data analytics for high-speed research network traffic measurement

Oana Georgiana Niculaescu; Mihai Maruseac; Gabriel Ghinita

doi:10.1145/3029806.3029841

Differentially-private big data analytics for high-speed research network traffic measurement

Oana Georgiana Niculaescu
, Mihai Maruseac
, Gabriel Ghinita

Computer Science

University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy
Publisher	Association for Computing Machinery, Inc
Pages	151-153
Number of pages	3
ISBN (Electronic)	9781450345231
DOIs	https://doi.org/10.1145/3029806.3029841
State	Published - Mar 22 2017
Event	7th ACM Conference on Data and Application Security and Privacy, CODASPY 2017 - Scottsdale, United States Duration: Mar 22 2017 → Mar 24 2017

Publication series

Name	CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy

Conference

Conference	7th ACM Conference on Data and Application Security and Privacy, CODASPY 2017
Country/Territory	United States
City	Scottsdale
Period	3/22/17 → 3/24/17

ASJC Scopus Subject Areas

Computer Science Applications
Information Systems
Software

Access to Document

10.1145/3029806.3029841

Cite this

Niculaescu, O. G., Maruseac, M., & Ghinita, G. (2017). Differentially-private big data analytics for high-speed research network traffic measurement. In CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (pp. 151-153). (CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy). Association for Computing Machinery, Inc. https://doi.org/10.1145/3029806.3029841

Differentially-private big data analytics for high-speed research network traffic measurement. / Niculaescu, Oana Georgiana; Maruseac, Mihai; Ghinita, Gabriel.
CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc, 2017. p. 151-153 (CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Niculaescu, OG, Maruseac, M & Ghinita, G 2017, Differentially-private big data analytics for high-speed research network traffic measurement. in CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy. CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy, Association for Computing Machinery, Inc, pp. 151-153, 7th ACM Conference on Data and Application Security and Privacy, CODASPY 2017, Scottsdale, United States, 3/22/17. https://doi.org/10.1145/3029806.3029841

Niculaescu OG, Maruseac M, Ghinita G. Differentially-private big data analytics for high-speed research network traffic measurement. In CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc. 2017. p. 151-153. (CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy). doi: 10.1145/3029806.3029841

Niculaescu, Oana Georgiana ; Maruseac, Mihai ; Ghinita, Gabriel. / Differentially-private big data analytics for high-speed research network traffic measurement. CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc, 2017. pp. 151-153 (CODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy).

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Differentially-private big data analytics for high-speed research network traffic measurement

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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