ICME: an Informed Consent Management Engine for conformance in smart building environments

Chehara Pathmabandu; John Grundy; Mohan Baruwal Chhetri; Zubair Baig

doi:10.1145/3468264.3473118

ICME: an Informed Consent Management Engine for conformance in smart building environments

Chehara Pathmabandu, John Grundy, Mohan Baruwal Chhetri, Zubair Baig

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

1 Citation (Scopus)

Abstract

Smart buildings can reveal highly sensitive insights about their inhabitants and expose them to new privacy threats and vulnerabilities. Yet, convenience overrides privacy concerns and most people remain ignorant about this issue. We propose a novel Informed Consent Management Engine (ICME) that aims to: (a) increase users' awareness about privacy issues and data collection practices in their smart building environments, (b) provide fine-grained visibility into privacy conformance and infringement by these devices, (c) recommend and visualise corrective user actions through "digital nudging", and (d) support the monitoring and management of personal data disclosure in a shared space. We present a reference architecture for ICME that can be used by software engineers to implement diverse end-user consent management solutions for smart buildings. We also provide a proof-of-concept prototype to demonstrate how the ICME approach works in a shared smart workplace. Demo: <a>https://youtu.be/5y6CdyWAdgY</a>

Original language	English
Title of host publication	Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Editors	Diomidis Spinellis, Georgios Gousios, Marsha Chechik, Massimiliano Di Penta
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	1545-1549
Number of pages	5
ISBN (Electronic)	9781450385626
DOIs	https://doi.org/10.1145/3468264.3473118
Publication status	Published - 2021
Event	Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering 2021 - Online, Athens, Greece Duration: 23 Aug 2021 → 28 Aug 2021 Conference number: 29th https://dl.acm.org/doi/proceedings/10.1145/3468264 (Proceedings) https://2021.esec-fse.org (Website)

Conference

Conference	Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering 2021
Abbreviated title	ESEC/FSE 2021
Country/Territory	Greece
City	Athens
Period	23/08/21 → 28/08/21
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3468264 (Proceedings) https://2021.esec-fse.org (Website)

Keywords

awareness
Compliance
Informed consent
IoT
Privacy policies
Privacy Preservation
Privacy Rights
Smart Buildings
Smart office

Access to Document

10.1145/3468264.3473118

Cite this

Pathmabandu, C., Grundy, J., Chhetri, M. B., & Baig, Z. (2021). ICME: an Informed Consent Management Engine for conformance in smart building environments. In D. Spinellis, G. Gousios, M. Chechik, & M. Di Penta (Eds.), Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 1545-1549). Association for Computing Machinery (ACM). https://doi.org/10.1145/3468264.3473118

Pathmabandu, Chehara ; Grundy, John ; Chhetri, Mohan Baruwal et al. / ICME : an Informed Consent Management Engine for conformance in smart building environments. Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. editor / Diomidis Spinellis ; Georgios Gousios ; Marsha Chechik ; Massimiliano Di Penta. New York NY USA : Association for Computing Machinery (ACM), 2021. pp. 1545-1549

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title = "ICME: an Informed Consent Management Engine for conformance in smart building environments",

abstract = "Smart buildings can reveal highly sensitive insights about their inhabitants and expose them to new privacy threats and vulnerabilities. Yet, convenience overrides privacy concerns and most people remain ignorant about this issue. We propose a novel Informed Consent Management Engine (ICME) that aims to: (a) increase users' awareness about privacy issues and data collection practices in their smart building environments, (b) provide fine-grained visibility into privacy conformance and infringement by these devices, (c) recommend and visualise corrective user actions through {"}digital nudging{"}, and (d) support the monitoring and management of personal data disclosure in a shared space. We present a reference architecture for ICME that can be used by software engineers to implement diverse end-user consent management solutions for smart buildings. We also provide a proof-of-concept prototype to demonstrate how the ICME approach works in a shared smart workplace. Demo: https://youtu.be/5y6CdyWAdgY ",

keywords = "awareness, Compliance, Informed consent, IoT, Privacy policies, Privacy Preservation, Privacy Rights, Smart Buildings, Smart office",

author = "Chehara Pathmabandu and John Grundy and Chhetri, {Mohan Baruwal} and Zubair Baig",

note = "Funding Information: Pathmabandu is supported by a CSIRO Data61 PhD scholarship. Grundy is supported by ARC Laureate Fellowship FL190100035. Publisher Copyright: {\textcopyright} 2021 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering 2021, ESEC/FSE 2021 ; Conference date: 23-08-2021 Through 28-08-2021",

year = "2021",

doi = "10.1145/3468264.3473118",

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pages = "1545--1549",

editor = "Diomidis Spinellis and Georgios Gousios and Marsha Chechik and {Di Penta}, Massimiliano",

booktitle = "Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

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Pathmabandu, C, Grundy, J, Chhetri, MB & Baig, Z 2021, ICME: an Informed Consent Management Engine for conformance in smart building environments. in D Spinellis, G Gousios, M Chechik & M Di Penta (eds), Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery (ACM), New York NY USA, pp. 1545-1549, Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering 2021, Athens, Greece, 23/08/21. https://doi.org/10.1145/3468264.3473118

ICME : an Informed Consent Management Engine for conformance in smart building environments. / Pathmabandu, Chehara; Grundy, John; Chhetri, Mohan Baruwal et al.

Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ed. / Diomidis Spinellis; Georgios Gousios; Marsha Chechik; Massimiliano Di Penta. New York NY USA : Association for Computing Machinery (ACM), 2021. p. 1545-1549.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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KW - Privacy policies

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Pathmabandu C, Grundy J, Chhetri MB, Baig Z. ICME: an Informed Consent Management Engine for conformance in smart building environments. In Spinellis D, Gousios G, Chechik M, Di Penta M, editors, Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. New York NY USA: Association for Computing Machinery (ACM). 2021. p. 1545-1549 https://doi.org/10.1145/3468264.3473118

ICME: an Informed Consent Management Engine for conformance in smart building environments

Abstract

Conference

Keywords

Access to Document

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HCMDSE: Human-centric Model-driven Software Engineering

Cite this

ICME: an Informed Consent Management Engine for conformance in smart building environments

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

HCMDSE: Human-centric Model-driven Software Engineering

Cite this