IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT
In this paper, we address the conflict in the collection, use and management of Big Data at the intersection of security and privacy requirements and the demand of innovative uses of the data. This problem is exaggerated in the context of the Internet of Things (IoT). We propose a three-part dec...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
| Online Access: | http://hdl.handle.net/1721.1/119000 |
| _version_ | 1811081594657570816 |
|---|---|
| author | Sollins, Karen R. |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Sollins, Karen R. |
| author_sort | Sollins, Karen R. |
| collection | MIT |
| description | In this paper, we address the conflict in the
collection, use and management of Big Data at the intersection of
security and privacy requirements and the demand of innovative
uses of the data. This problem is exaggerated in the context of the
Internet of Things (IoT). We propose a three-part decomposition
of the design space, in order to clarify requirements and
constraints. To reach this final analysis, we begin by clarifying
the challenges in the design space: (1) there is little agreement on
what is meant by IoT, and in particular the security and privacy
implications of different definitions; (2) we then consider the
requirement and constraints on the big data that result from
various IoT system designs; (3) in parallel, we examine the
intricacies of the demand for innovation from the both the legal
and economic perspectives. In this context, we then can
decompose the set of drivers and objectives for security/privacy
of data as well as innovation into (1) the regulatory and social
policy context, (2) economic and business context, and (3)
technology and design context. By identifying these distinct
objectives for the design of IoT Big Data management, we
propose that more effective design and control is possible at the
intersection of these forces, through an iterative process of review
and redesign. |
| first_indexed | 2024-09-23T11:49:17Z |
| format | Article |
| id | mit-1721.1/119000 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:49:17Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1190002022-10-01T06:16:22Z IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT IoT Big Data Security and Privacy vs. Innovation Sollins, Karen R. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Karen R. Sollins Sollins, Karen R. In this paper, we address the conflict in the collection, use and management of Big Data at the intersection of security and privacy requirements and the demand of innovative uses of the data. This problem is exaggerated in the context of the Internet of Things (IoT). We propose a three-part decomposition of the design space, in order to clarify requirements and constraints. To reach this final analysis, we begin by clarifying the challenges in the design space: (1) there is little agreement on what is meant by IoT, and in particular the security and privacy implications of different definitions; (2) we then consider the requirement and constraints on the big data that result from various IoT system designs; (3) in parallel, we examine the intricacies of the demand for innovation from the both the legal and economic perspectives. In this context, we then can decompose the set of drivers and objectives for security/privacy of data as well as innovation into (1) the regulatory and social policy context, (2) economic and business context, and (3) technology and design context. By identifying these distinct objectives for the design of IoT Big Data management, we propose that more effective design and control is possible at the intersection of these forces, through an iterative process of review and redesign. 2018-11-14T15:40:39Z 2018-11-14T15:40:39Z 2018-12 Article http://purl.org/eprint/type/JournalArticle 2327-4662 2372-2541 http://hdl.handle.net/1721.1/119000 Sollins, Karen R. "IoT Big Data Security and Privacy vs. Innovation." IEEE Internet of Things Journal, forthcoming: IoT-3277-2018 © 2018 IEEE en_US IEEE Internet of Things Journal Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) Karen R. Sollins |
| spellingShingle | Sollins, Karen R. IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title | IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title_full | IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title_fullStr | IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title_full_unstemmed | IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title_short | IoT Big Data Security and Privacy vs. Innovation: To appear in IEEE Internet of Things Journal , special issue on Security and Privacy Protection for Big Data and IoT |
| title_sort | iot big data security and privacy vs innovation to appear in ieee internet of things journal special issue on security and privacy protection for big data and iot |
| url | http://hdl.handle.net/1721.1/119000 |
| work_keys_str_mv | AT sollinskarenr iotbigdatasecurityandprivacyvsinnovationtoappearinieeeinternetofthingsjournalspecialissueonsecurityandprivacyprotectionforbigdataandiot AT sollinskarenr iotbigdatasecurityandprivacyvsinnovation |