It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

Endpoint Detection and Response (EDR) tools provide visibility into sophisticated intrusions
by matching system events against known adversarial behaviors. However, current solutions …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Past studies show that middleboxes are a critical piece of network infrastructure for providing
security and performance guarantees. Unfortunately, the dynamic and traffic-dependent …

The key barrier to widespread uptake of cloud computing is the lack of trust in clouds by
potential customers. While preventive controls for security and privacy are actively …

In a provenance-aware system, mechanisms gather and report metadata that describes the
history of each object being processed on the system, allowing users to understand how …

SPADE is an open source software infrastructure for data provenance collection and
management. The underlying data model used throughout the system is graph-based …

Measurement plays a key role in network operation and management. An important but
unaddressed practical requirement in high speed networks is supporting concurrent …

Debugging data processing logic in Data-Intensive Scalable Computing (DISC) systems is a
difficult and time consuming effort. Today's DISC systems offer very little tooling for …

We study in this paper provenance information for queries with aggregation. Provenance
information was studied in the context of various query languages that do not allow for …