Abstract: Systems and methods for providing sensitive dataflow tracking for containerized applications is provided herein. In some embodiments, a taint tracking system for providing sensitive dataflow tracking may include an audit reporter configured to create a provenance graph; a taint tracking kernel configured to (1) create a screened provenance graph that includes data deemed sensitive, and (2) create one or more final taints set of sensitive data to be tracked at a container level that includes vertices and edges that are descended from a particular sensitive source using one or more dependency checkers; and a taint storage configured to store the taint sets of sensitive data to be tracked at the container level.

Abstract: This disclosure describes techniques for ranking cryptocurrencies or cryptocurrency addresses. An example cryptocurrency ranking system includes memory and one or more processors, the one or more processors are configured to obtain blockchain including data indicative of a plurality of cryptocurrency transactions, open web data, and non-open web data. The one or more processors are configured to determine a multi-dimensional data structure for at least one cryptocurrency address based on the obtained blockchain data, the obtained open web data, and the obtained non-open web data. The one or more processors are configured to determine a reputation ranking for the at least one cryptocurrency address based on the determined multi-dimensional data structure and output the determined reputation ranking for the at least one cryptocurrency address.

Abstract: Embodiments consistent with the present disclosure provide systems and methods for providing namespace-aware provenance tracking in a containerized environment.