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 |
ASJC Scopus subject areas
- Artificial Intelligence
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Cite this
Shmargad, Y. (2017). Network perspectives on privacy and security in the internet of things: From actor-network theory to social network analysis. In 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, pp. 351-353). AI Access Foundation.