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1.
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Contextual Permission Models for Better Privacy Protection
/ Primal Wijesekera
[LERSSE-THESIS-2018-002]
Despite corporate cyber intrusions attracting all the attention, privacy breaches that we, as ordinary users, should be worried about occur every day without any scrutiny. [...]
Published in Primal Wijesekera, "Contextual Permission Models for Better Privacy Protection", PhD Dissertation, Department of Electrical and Computer Engineering, THE UNIVERSITY OF BRITISH COLUMBIA, June, 2018:
Fulltext:  PDF PDF (PDFA);
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2.
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Dynamically Regulating Mobile Application Permissions
/ Primal Wijesekera ; Arjun Baokar ; Lynn Tsai ; Joel Reardon ; et al
[LERSSE-etc-2018-001]
Current smartphone operating systems employ permission systems to regulate how apps access sensitive resources. [...]
Published in P. Wijesekera et al., "Dynamically Regulating Mobile Application Permissions," in IEEE Security & Privacy, vol. 16, no. 1, pp. 64-71, January/February 2018. doi: 10.1109/MSP.2018.1331031 keywords: {Computer security;Medical devices;Mobile communication;Privacy;Smart phones;IEEE Symposium on Security and Privacy;machine learning;mobile privacy;permission systems;security}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8283440&isnumber=8283426:
Fulltext: PDF PDF (PDFA);
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3.
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Contextualizing Privacy Decisions for Better Prediction (and Protection)
/ Primal Wijesekera ; Joel Reardon ; Irwin Reyes ; Lynn Tsai ; et al
[LERSSE-RefConfPaper-2018-001]
Modern mobile operating systems implement an ask-on-first-use policy to regulate applications’ access to private user data: the user is prompted to allow or deny access to a sensitive resource the first time an app attempts to use it. [...]
Published in Primal Wijesekera, Joel Reardon, Irwin Reyes, Lynn Tsai, Jung-Wei Chen, Nathan Good, David Wagner, Konstantin Beznosov, and Serge Egelman. Contextualizing Privacy Decisions for Better Prediction (and Protection). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’18), 2018.:
Fulltext: PDF PDF (PDFA);
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4.
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Decoupling data-at-rest encryption and smartphone locking with wearable devices
/ Ildar Muslukhov ; San-Tsai Sun ; Primal Wijesekera ; Yazan Boshmaf ; et al
[LERSSE-RefJnlPaper-2017-001]
Smartphones store sensitive and confidential data, e.g., business related documents or emails. [...]
Published in I. Muslukhov, S.-T. Sun, P. Wijesekera, Y. Boshmaf, K. Beznosov, “Decoupling data-at-rest encryption and smartphone locking with wearable devices,” Pervasive and Mobile Computing, v. 32, 2016, 26-34.:
Fulltext: PDF PDF (PDFA);
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5.
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The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences
/ Primal Wijesekera ; Arjun Baokar ; Lynn Tsai ; Joel Reardon ; et al
[LERSSE-RefConfPaper-2017-004]
Current smartphone operating systems regulate application permissions by prompting users on an ask-on-first-use basis. [...]
Published in P. Wijesekera, A. Baokar, L.Tsai, J. Reardon, S. Egelman, D. Wagner, K. Beznosov, “The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences,” in IEEE Symposium on Security and Privacy (IEEE S&P), San-Jose, CA, May 2017, 17 pages.:
Fulltext: PDF PDF (PDFA);
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6.
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Android Permissions Remystified: A Field Study on Contextual Integrity
/ Primal Wijesekera ; Arjun Baokar ; Ashkan Hosseini ; Serge Egelman ; et al
[LERSSE-RefConfPaper-2015-004]
We instrumented the Android platform to collect data regarding how often and under what circumstances smartphone applications access protected resources regulated by permissions. [...]
Published in Primal Wijesekera, Arjun Baokar, Ashkan Hosseini, Serge Egelman, David Wagner and Konstantin Beznosov. 2015. Android Permissions Remystified: A Field Study on Contextual Integrity. USENIX Security 2015, Washington DC, USA.:
Fulltext: PDF PDF (PDFA);
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