NDLI: User authentication and identification from user interface interactions on touch-enabled devices

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User authentication and identification from user interface interactions on touch-enabled devices

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User authentication and identification from user interface interactions on touch-enabled devices

Content Provider	ACM Digital Library
Author	Enbody, Richard Sharma, Vaibhav
Abstract	We investigate if a mobile application running on a touch-enabled device can continuously and unobtrusively authenticate and identify its users based only on their interactions with the user interface of the application. A unique advantage that this modality provides over other implicit modalities on mobile devices is that every user who uses the mobile application is automatically enrolled into the classification system via the touch-based interface, thereby guaranteeing that an attacker cannot avoid the classification system. Using different types of input controls available on the Android platform, we collected interactions from 42 users in five sessions. We created base classifiers from each type of input control and combined them into an ensemble classifier to authenticate and identify users. We found that a Support Vector Machine-based ensemble classifier achieves a mean equal error rate of 7% for user authentication and a median accuracy of 93% for user identification. We found that Support Vector Machine-based ensemble classifiers outperform other techniques in both cases. While the ensemble classifier performance for authentication and identification is not found to be sufficient for it to replace current primary authentication mechanisms used in mobile applications, its truly continuous nature provides motivation for it to be used in conjunction with primary authentication mechanisms. UI interaction-based authentication and identification is independent of swipe gesture-based and keystroke-based authentication, allowing it to be combined with those modalities, while remaining resilient to attacks against those modalities.
Starting Page	1
Ending Page	11
Page Count	11
File Format	PDF
ISBN	9781450350846
DOI	10.1145/3098243.3098262
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-18
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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