Seamless authentication for online teaching and meeting

Mohanty, M; Yaqub, W

Seamless authentication for online teaching and meeting

Mohanty, M

Yaqub, W

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2020 IEEE 6th International Conference on Multimedia Big Data, BigMM 2020, 2020, 00, pp. 120-124
Issue Date:: 2020-09-01

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Field	Value	Language
dc.contributor.author	Mohanty, M https://orcid.org/0000-0002-0258-4586
dc.contributor.author	Yaqub, W
dc.date	2020-09-24
dc.date.accessioned	2021-03-14T21:48:36Z
dc.date.available	2021-03-14T21:48:36Z
dc.date.issued	2020-09-01
dc.identifier.citation	Proceedings - 2020 IEEE 6th International Conference on Multimedia Big Data, BigMM 2020, 2020, 00, pp. 120-124
dc.identifier.isbn	9781728193250
dc.identifier.uri	http://hdl.handle.net/10453/147111
dc.description.abstract	© 2020 IEEE. The lockdowns and travel restrictions in the current coronavirus pandemic situation has replaced face-to-face teaching and meeting with the online alternatives. Recently, the video conferencing tool Zoom has become extremely popular for its simple-to-use features and low network bandwidth requirement. However, Zoom has serious security and privacy issues. Due to weak authentication mechanisms, unauthorised persons are invading Zoom sessions and creating disturbances (known as Zoom bombing). In this paper, we propose a preliminary work towards a seamless authentication mechanism for Zoom-based teaching and meeting. Our method is based on PRNU (Photo Response Non-Uniformity)-based camera authentication, which can authenticate the camera of a device used in a Zoom meeting without requiring any assistance from the participants (e.g., needing the participant to provide biometric). Results from a small-scale experiment validate the proposed method.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings - 2020 IEEE 6th International Conference on Multimedia Big Data, BigMM 2020
dc.relation.ispartof	2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM)
dc.relation.isbasedon	10.1109/BigMM50055.2020.00026
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Seamless authentication for online teaching and meeting
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2021-03-14T21:48:32Z
pubs.finish-date	2020-09-26
pubs.publication-status	Published
pubs.start-date	2020-09-24
pubs.volume	00

Abstract:

© 2020 IEEE. The lockdowns and travel restrictions in the current coronavirus pandemic situation has replaced face-to-face teaching and meeting with the online alternatives. Recently, the video conferencing tool Zoom has become extremely popular for its simple-to-use features and low network bandwidth requirement. However, Zoom has serious security and privacy issues. Due to weak authentication mechanisms, unauthorised persons are invading Zoom sessions and creating disturbances (known as Zoom bombing). In this paper, we propose a preliminary work towards a seamless authentication mechanism for Zoom-based teaching and meeting. Our method is based on PRNU (Photo Response Non-Uniformity)-based camera authentication, which can authenticate the camera of a device used in a Zoom meeting without requiring any assistance from the participants (e.g., needing the participant to provide biometric). Results from a small-scale experiment validate the proposed method.

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http://hdl.handle.net/10453/147111