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

Yotam Shmargad

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

Information Resources and Library Science, School of

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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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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 proceeding › Conference 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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