chowniot: Enhancing IoT privacy by automated handling of ownership change

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

chowniot : Enhancing IoT privacy by automated handling of ownership change. / Khan, Md Sakib Nizam; Marchal, Samuel; Buchegger, Sonja; Asokan, N.

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers. ed. / Daniel Slamanig; Stephan Krenn; Simone Fischer-Hübner; Jo Pierson; Eleni Kosta. 2019. p. 205-221 (IFIP Advances in Information and Communication Technology; Vol. 547).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Khan, MSN, Marchal, S, Buchegger, S & Asokan, N 2019, chowniot: Enhancing IoT privacy by automated handling of ownership change. in D Slamanig, S Krenn, S Fischer-Hübner, J Pierson & E Kosta (eds), Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 547, pp. 205-221, International IFIP Summer School on Privacy and Identity Management, Vienna, Austria, 20/08/2018. https://doi.org/10.1007/978-3-030-16744-8_14

APA

Khan, M. S. N., Marchal, S., Buchegger, S., & Asokan, N. (2019). chowniot: Enhancing IoT privacy by automated handling of ownership change. In D. Slamanig, S. Krenn, S. Fischer-Hübner, J. Pierson, & E. Kosta (Eds.), Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers (pp. 205-221). (IFIP Advances in Information and Communication Technology; Vol. 547). https://doi.org/10.1007/978-3-030-16744-8_14

Vancouver

Khan MSN, Marchal S, Buchegger S, Asokan N. chowniot: Enhancing IoT privacy by automated handling of ownership change. In Slamanig D, Krenn S, Fischer-Hübner S, Pierson J, Kosta E, editors, Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers. 2019. p. 205-221. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-030-16744-8_14

Author

Khan, Md Sakib Nizam ; Marchal, Samuel ; Buchegger, Sonja ; Asokan, N. / chowniot : Enhancing IoT privacy by automated handling of ownership change. Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers. editor / Daniel Slamanig ; Stephan Krenn ; Simone Fischer-Hübner ; Jo Pierson ; Eleni Kosta. 2019. pp. 205-221 (IFIP Advances in Information and Communication Technology).

Bibtex - Download

@inproceedings{5878b0b0f47142f1b3703315e5bddfb8,
title = "chowniot: Enhancing IoT privacy by automated handling of ownership change",
abstract = "Considering the increasing deployment of smart home IoT devices, their ownership is likely to change during their life-cycle. IoT devices, especially those used in smart home environments, contain privacy-sensitive user data, and any ownership change of such devices can result in privacy leaks. The problem arises when users are either not aware of the need to reset/reformat the device to remove any personal data, or not trained in doing it correctly as it can be unclear what data is kept where. In addition, if the ownership change is due to theft or loss, then there is no opportunity to reset. Although there has been a lot of research on security and privacy of IoT and smart home devices, to the best of our knowledge, there is no prior work specifically on automatically securing ownership changes. We present a system called for securely handling ownership change of IoT devices. combines authentication (of both users and their smartphone), profile management, data protection by encryption, and automatic inference of ownership change. For the latter, we use a simple technique that leverages the context of a device. Finally, as a proof of concept, we develop a prototype that implements inferring ownership change from changes in the WiFi SSID. The performance evaluation of the prototype shows that has minimal overhead and is compatible with the dominant IoT boards on the market.",
keywords = "IoT, Ownership, Privacy, Smart home",
author = "Khan, {Md Sakib Nizam} and Samuel Marchal and Sonja Buchegger and N. Asokan",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-16744-8_14",
language = "English",
isbn = "9783030167431",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "205--221",
editor = "Daniel Slamanig and Stephan Krenn and Simone Fischer-H{\"u}bner and Jo Pierson and Eleni Kosta",
booktitle = "Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers",

}

RIS - Download

TY - GEN

T1 - chowniot

T2 - Enhancing IoT privacy by automated handling of ownership change

AU - Khan, Md Sakib Nizam

AU - Marchal, Samuel

AU - Buchegger, Sonja

AU - Asokan, N.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Considering the increasing deployment of smart home IoT devices, their ownership is likely to change during their life-cycle. IoT devices, especially those used in smart home environments, contain privacy-sensitive user data, and any ownership change of such devices can result in privacy leaks. The problem arises when users are either not aware of the need to reset/reformat the device to remove any personal data, or not trained in doing it correctly as it can be unclear what data is kept where. In addition, if the ownership change is due to theft or loss, then there is no opportunity to reset. Although there has been a lot of research on security and privacy of IoT and smart home devices, to the best of our knowledge, there is no prior work specifically on automatically securing ownership changes. We present a system called for securely handling ownership change of IoT devices. combines authentication (of both users and their smartphone), profile management, data protection by encryption, and automatic inference of ownership change. For the latter, we use a simple technique that leverages the context of a device. Finally, as a proof of concept, we develop a prototype that implements inferring ownership change from changes in the WiFi SSID. The performance evaluation of the prototype shows that has minimal overhead and is compatible with the dominant IoT boards on the market.

AB - Considering the increasing deployment of smart home IoT devices, their ownership is likely to change during their life-cycle. IoT devices, especially those used in smart home environments, contain privacy-sensitive user data, and any ownership change of such devices can result in privacy leaks. The problem arises when users are either not aware of the need to reset/reformat the device to remove any personal data, or not trained in doing it correctly as it can be unclear what data is kept where. In addition, if the ownership change is due to theft or loss, then there is no opportunity to reset. Although there has been a lot of research on security and privacy of IoT and smart home devices, to the best of our knowledge, there is no prior work specifically on automatically securing ownership changes. We present a system called for securely handling ownership change of IoT devices. combines authentication (of both users and their smartphone), profile management, data protection by encryption, and automatic inference of ownership change. For the latter, we use a simple technique that leverages the context of a device. Finally, as a proof of concept, we develop a prototype that implements inferring ownership change from changes in the WiFi SSID. The performance evaluation of the prototype shows that has minimal overhead and is compatible with the dominant IoT boards on the market.

KW - IoT

KW - Ownership

KW - Privacy

KW - Smart home

UR - http://www.scopus.com/inward/record.url?scp=85065286871&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-16744-8_14

DO - 10.1007/978-3-030-16744-8_14

M3 - Conference contribution

SN - 9783030167431

T3 - IFIP Advances in Information and Communication Technology

SP - 205

EP - 221

BT - Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data - 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Revised Selected Papers

A2 - Slamanig, Daniel

A2 - Krenn, Stephan

A2 - Fischer-Hübner, Simone

A2 - Pierson, Jo

A2 - Kosta, Eleni

ER -

ID: 40178852