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Software engineering for privacy in-the-large

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Software engineering for privacy in-the-large. / Anthonysamy, Pauline; Rashid, Awais.
Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ). IEEE Press, 2015. p. 947-948.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Anthonysamy, P & Rashid, A 2015, Software engineering for privacy in-the-large. in Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ). IEEE Press, pp. 947-948. https://doi.org/10.1109/ICSE.2015.300

APA

Anthonysamy, P., & Rashid, A. (2015). Software engineering for privacy in-the-large. In Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ) (pp. 947-948). IEEE Press. https://doi.org/10.1109/ICSE.2015.300

Vancouver

Anthonysamy P, Rashid A. Software engineering for privacy in-the-large. In Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ). IEEE Press. 2015. p. 947-948 doi: 10.1109/ICSE.2015.300

Author

Anthonysamy, Pauline ; Rashid, Awais. / Software engineering for privacy in-the-large. Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ). IEEE Press, 2015. pp. 947-948

Bibtex

@inproceedings{8cc90c6fc84842cf942418859eb7b7c2,
title = "Software engineering for privacy in-the-large",
abstract = "There will be an estimated 35 zettabytes (35$times$10textsuperscript{21}) of digital records worldwide by the year 2020. This effectively amounts to privacy management on an ultra-large-scale. In this briefing, we discuss the privacy challenges posed by such an ultra-large-scale ecosystem - we term this ``Privacy in the Large''. We will contrast existing approaches to privacy management, reflect on their strengths and limitations in this regard and outline key software engineering research and practice challenges to be addressed in the future.",
author = "Pauline Anthonysamy and Awais Rashid",
year = "2015",
doi = "10.1109/ICSE.2015.300",
language = "English",
pages = "947--948",
booktitle = "Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 )",
publisher = "IEEE Press",

}

RIS

TY - GEN

T1 - Software engineering for privacy in-the-large

AU - Anthonysamy, Pauline

AU - Rashid, Awais

PY - 2015

Y1 - 2015

N2 - There will be an estimated 35 zettabytes (35$times$10textsuperscript{21}) of digital records worldwide by the year 2020. This effectively amounts to privacy management on an ultra-large-scale. In this briefing, we discuss the privacy challenges posed by such an ultra-large-scale ecosystem - we term this ``Privacy in the Large''. We will contrast existing approaches to privacy management, reflect on their strengths and limitations in this regard and outline key software engineering research and practice challenges to be addressed in the future.

AB - There will be an estimated 35 zettabytes (35$times$10textsuperscript{21}) of digital records worldwide by the year 2020. This effectively amounts to privacy management on an ultra-large-scale. In this briefing, we discuss the privacy challenges posed by such an ultra-large-scale ecosystem - we term this ``Privacy in the Large''. We will contrast existing approaches to privacy management, reflect on their strengths and limitations in this regard and outline key software engineering research and practice challenges to be addressed in the future.

U2 - 10.1109/ICSE.2015.300

DO - 10.1109/ICSE.2015.300

M3 - Conference contribution/Paper

SP - 947

EP - 948

BT - Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 )

PB - IEEE Press

ER -