Title Random anonymization of mobile sensor data: Modified Android framework
Publication Type Conference Paper
Year of Publication 2015
Authors Claiborne, C, Ncube, C, Dantu, R
Conference Name Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on
Date Published May
Keywords Accelerometers, Android, anonymized, application level, Data models, data privacy, Hidden Markov models, Mobile communication, mobile computing, mobile sensor data, mobile users, modified Android framework, operating system level, pervasive, Privacy, privacy concerns, provider, random anonymization, RANDSOM, RANDSOM framework, sensor data privacy, service providers, smart phone, smart phones, telecommunication security, third party applications
Abstract

With the increasing ability to accurately classify activities of mobile users from what was once viewed as innocuous mobile sensor data, the risk of users compromising their privacy has risen exponentially. Currently, mobile owners cannot control how various applications handle the privacy of their sensor data, or even determine if a service provider is adversarial or trustworthy. To address these privacy concerns, third party applications have been designed to allow mobile users to have control over the data that is sent to service providers. However, these applications require users to set flags and parameters that place restrictions on the anonymized or real sensor data that is sent to the requestor. Therefore, in this paper, we introduce a new framework, RANDSOM, that moves the decision-making from the application level to the operating system level.
DOI 10.1109/ISI.2015.7165968

Publication Status:

  • Presented

UNT Department:

  • Computer Science and Engineering (CSE)

UNT Center:

  • Center for Information and Cyber Security (CICS)

UNT Lab:

  • Network Security Laboratory (NSL)
Document: 
random_anonymization_mobile_sensor_data.pdf