AppMoD

Author:

Wan Zhiyuan1,Bao Lingfeng2,Gao Debin3,Toch Eran4,Xia Xin5,Mendel Tamir4,Lo David3

Affiliation:

1. Zhejiang University, Hangzhou, China, University of British Columbia, Vancouver, Canada

2. Zhejiang University City College, Hangzhou, China

3. Singapore Management University, Singapore

4. Tel Aviv University, Tel Aviv, Israel

5. Monash University, Melbourne, Australia

Abstract

The rapid adoption of Smartphone devices has caused increasing security and privacy risks and breaches. Catching up with ever-evolving contemporary smartphone technology challenges leads older adults (aged 50+) to reduce or to abandon their use of mobile technology. To tackle this problem, we present AppMoD, a community-based approach that allows delegation of security and privacy decisions a trusted social connection, such as a family member or a close friend. The trusted social connection can assist in the appropriate decision or make it on behalf of the user. We implement the approach as an Android app and describe the results of three user studies (n=50 altogether), in which pairs of older adults and family members used the app in a controlled experiment. Using app anomalies as an ongoing case study, we show how delegation improves the accuracy of decisions made by older adults. Also, we show how combining decision-delegation with crowdsourcing can enhance the advice given and improve the decision-making process. Our results suggest that a community-based approach can improve the state of mobile security and privacy.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference69 articles.

1. ProtectMyPrivacy

2. Designing a Mobile Application to Support Social Processes for Privacy Decisions

3. DroidBarrier

4. Monica Anderson and Andrew Perrin. 2017. Tech adoption climbs among older adults. Pew Research Center (2017) 1--22. Monica Anderson and Andrew Perrin. 2017. Tech adoption climbs among older adults. Pew Research Center (2017) 1--22.

5. Drebin: Effective and Explainable Detection of Android Malware in Your Pocket

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