The rise of IoT has led to large volumes of personal data being produced at the network’s edge. Most IoT applications process data in the cloud raising concerns over privacy and …
System level provenance is of widespread interest for applications such as security enforcement and information protection. However, testing the correctness or completeness of …
Valuable, sensitive, and regulated data flow freely through distributed governing the collection, use, and management of such data? We claim that distributed data provenance, the …
The execution of distributed data processing workloads (such as those running on top of Hadoop or Spark) in cloud environments presents a unique opportunity to explore multiple …
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 …
Intrusion detection is an arms race; attackers evade intrusion detection systems by developing new attack vectors to sidestep known defense mechanisms. Provenance provides a …
Data provenance describes how data came to be in its present form. It includes data sources and the transformations that have been applied to them. Data provenance has many uses, …
We present FRAPpuccino (or FRAP), a provenance-based fault detection mechanism for Platform as a Service (PaaS) users, who run many instances of an application on a large cluster …
Unikernels are a rapidly emerging technology in the world of cloud computing. Unikernels build on research on library operating systems to deliver smaller, faster and more secure …
Internet of Things (IoT) applications, systems and services are subject to law. We argue that for the IoT to develop lawfully, there must be technical mechanisms that allow the …