Abstract
Increasingly, everyday objects are equipped with sensors and processing capabilities. We are quickly approaching a world where objects "communicate" with us and each other, storing and sharing information about our actions and those of other objects. In this paper, I develop a framework to analyze the implications for privacy and security in these emerging "social" networks, which now include objects as nodes. Building on existing network theories and methods, I show how mapping out the information flows between consumers, devices, companies, and hackers can help to address concerns about the relationship between surveillers and the surveilled.
| Original language | English (US) |
|---|---|
| Title of host publication | SS-17-01 |
| Subtitle of host publication | Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing |
| Publisher | AI Access Foundation |
| Pages | 351-353 |
| Number of pages | 3 |
| Volume | SS-17-01 - SS-17-08 |
| ISBN (Electronic) | 9781577357797 |
| State | Published - 2017 |
| Event | 2017 AAAI Spring Symposium - Stanford, United States Duration: Mar 27 2017 → Mar 29 2017 |
Other
| Other | 2017 AAAI Spring Symposium |
|---|---|
| Country | United States |
| City | Stanford |
| Period | 3/27/17 → 3/29/17 |
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ASJC Scopus subject areas
- Artificial Intelligence
Cite this
Network perspectives on privacy and security in the internet of things : From actor-network theory to social network analysis. / Shmargad, Yotam.
SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing. Vol. SS-17-01 - SS-17-08 AI Access Foundation, 2017. p. 351-353.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Network perspectives on privacy and security in the internet of things
T2 - From actor-network theory to social network analysis
AU - Shmargad, Yotam
PY - 2017
Y1 - 2017
N2 - Increasingly, everyday objects are equipped with sensors and processing capabilities. We are quickly approaching a world where objects "communicate" with us and each other, storing and sharing information about our actions and those of other objects. In this paper, I develop a framework to analyze the implications for privacy and security in these emerging "social" networks, which now include objects as nodes. Building on existing network theories and methods, I show how mapping out the information flows between consumers, devices, companies, and hackers can help to address concerns about the relationship between surveillers and the surveilled.
AB - Increasingly, everyday objects are equipped with sensors and processing capabilities. We are quickly approaching a world where objects "communicate" with us and each other, storing and sharing information about our actions and those of other objects. In this paper, I develop a framework to analyze the implications for privacy and security in these emerging "social" networks, which now include objects as nodes. Building on existing network theories and methods, I show how mapping out the information flows between consumers, devices, companies, and hackers can help to address concerns about the relationship between surveillers and the surveilled.
UR - http://www.scopus.com/inward/record.url?scp=85028712318&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028712318&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85028712318
VL - SS-17-01 - SS-17-08
SP - 351
EP - 353
BT - SS-17-01
PB - AI Access Foundation
ER -