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Ensuring Compliance with Data Privacy and Usage Policies in Online Services

Aastha Mehta
MMCI
SWS Student Defense Talks - Thesis Defense
SWS  
Public Audience
English

Date, Time and Location

Tuesday, 3 November 2020
14:30
60 Minutes
E1 5
029
Saarbrücken

Abstract

Online services collect and process a variety of sensitive personal data that is subject to complex privacy and usage policies. Complying with the policies is critical and often legally binding for service providers, but it is challenging as applications are prone to many disclosure threats. In this thesis, I present two compliance systems, Qapla and Pacer, that ensure efficient policy compliance in the face of direct and side-channel disclosures, respectively.

Qapla prevents direct disclosures in database-backed applications (e.g., personnel management systems), which are subject to complex access control, data linking, and aggregation policies. Conventional methods inline policy checks with application code. Qapla instead specifies policies directly on the database and enforces them in a database adapter,
thus separating compliance from the application code.

Pacer prevents network side-channel leaks in cloud applications. A tenant’s secrets may leak via its network traffic shape, which can be observed at shared network links (e.g., network cards, switches). Pacer implements a cloaked tunnel abstraction, which hides secret-dependent variation in tenant’s traffic shape, but allows variations based on non-secret information, enabling secure and efficient use of network resources in the cloud.

Both systems require modest development efforts, and incur moderate performance overheads, thus demonstrating their usability.

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Maria-Louise Albrecht, 10/22/2020 12:42 -- Created document.