Emerging IoT programming frameworks enable building apps that compute on sensitive
data produced by smart homes and wearables. However, these frameworks only support …

Today's smartphone operating systems frequently fail to provide users with visibility into how
third-party applications collect and share their private data. We address these shortcomings …

Mobile malware attempts to evade detection during app analysis by mimicking security-
sensitive behaviors of benign apps that provide similar functionality (eg, sending SMS …

Airavat: Security and Privacy for MapReduce Page 1 Airavat: Security and Privacy for
MapReduce Indrajit Roy, Srinath TV Setty, Ann Kilzer, Vitaly Shmatikov, Emmett Witchel The …

Identifying the root cause and impact of a system intrusion remains a foundational challenge
in computer security. Digital provenance provides a detailed history of the flow of information …

Privacy and integrity are important security concerns. These concerns are addressed by
controlling information flow, ie, restricting how information can flow through a system. Most …

The dramatic rise of Android application (app) marketplaces has significantly gained the
success of convenience for mobile users. Consequently, with the advantage of numerous …

Modern extensible web platforms like Facebook and Yammer depend on third-party
software to offer a rich experience to their users. Unfortunately, users running a third-party …

Security concerns are widely seen as an obstacle to the adoption of cloud computing
solutions. Information Flow Control (IFC) is a well understood Mandatory Access Control …

Dynamic taint analysis is a well-known information flow analysis problem with many
possible applications. Taint tracking allows for analysis of application data flow by assigning …