Data Provenance

Provenance graphs are structured audit logs that describe the history of a system’s execution. Recent studies have explored a variety …

Many users implicitly assume that software can only be exploited after it is installed. However, recent supply-chain attacks …

Advanced Persistent Threats (APTs) are difficult to detect due to their “low-and-slow” attack patterns and frequent use of …

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

Intrusion detection is an arms race; attackers evade intrusion detection systems by developing new attack vectors to sidestep known …

Open data and open source software might be part of the solution to sciences reproducibility crisis, but they are insufficient to …

Developing Big Data Analytics workloads often involves trial and error debugging, due to the unclean nature of datasets or wrong …

Data provenance describes how data came to be in its present form. It includes data sources and the transformations that have been …

We present FRAPpuccino (or FRAP), a provenance-based fault detection mechanism for Platform as a Service (PaaS) users, who run many …

An abundance of data in many disciplines has accelerated the adoption of distributed technologies such as Hadoop and Spark, which …