Building a Full Causality Chain Across an Enterprise System

Data Provenance refers to records of the inputs, entities, systems and process that influence data of interest, providing a historical record of the data and its origins. To provide a holistic view of the data provenance in an enterprise system, the provenance records of the activities carried out on a client workstation is important. Last … full description “Building a Full Causality Chain Across an Enterprise System”

[Taken] Predicting Debug Symbols for Closed Source Binaries

Reverse engineering binaries, whether malicious or benign, is made more difficult by the absence of debug information. Variables and functions have had their identifiers “stripped”, so reverse engineers have to manually name them during analysis based on human understanding of the code functionality. The goal of this project is to use machine learning to predict … full description “[Taken] Predicting Debug Symbols for Closed Source Binaries”