Network perspectives on privacy and security in the internet of things: From actor-network theory to social network analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationSS-17-01
Subtitle of host publicationArtificial 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
PublisherAI Access Foundation
Pages351-353
Number of pages3
VolumeSS-17-01 - SS-17-08
ISBN (Electronic)9781577357797
StatePublished - 2017
Event2017 AAAI Spring Symposium - Stanford, United States
Duration: Mar 27 2017Mar 29 2017

Other

Other2017 AAAI Spring Symposium
CountryUnited States
CityStanford
Period3/27/173/29/17

Fingerprint

Circuit theory
Electric network analysis
Sensors
Processing
Industry
Internet of things

ASJC Scopus subject areas

  • Artificial Intelligence

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.

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 proceedingConference contribution

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, AI Access Foundation, pp. 351-353, 2017 AAAI Spring Symposium, Stanford, United States, 3/27/17.
Shmargad Y. 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. AI Access Foundation. 2017. p. 351-353
Shmargad, Yotam. / Network perspectives on privacy and security in the internet of things : From actor-network theory to social network analysis. 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. pp. 351-353
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