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 …

Data is a valuable asset for the success of business and organizations these days, as it is
effectively utilized for decision making, risk assessment, prioritizing the goals and …

Abstract The Internet of Things (IoT) is an emerging paradigm in which billions of devices
communicate, thus producing and exchanging information related to real world objects …

Large-scale sensor networks are deployed in numerous application domains, and the data
they collect are used in decision-making for critical infrastructures. Data are streamed from …

Delay tolerant networks (DTNs) are often encountered in military network environments
where end-to-end connectivity is not guaranteed due to frequent disconnection or delay …

Due to energy and bandwidth limitations of wireless sensor networks (WSNs), it is crucial
that data provenance for these networks be as compact as possible. Even if lossy …

Large-scale sensor networks are being deployed in numerous application domains, and
often the data they collect are used in decision-making for critical infrastructures. Data are …

Provenance records the history of data acquisition and transmission. In wireless sensor
networks (WSNs), provenance is critical for many different purposes, including assessing the …

Causality analysis is an effective technique for investigating and detecting cyber attacks.
However, by focusing on auditing at the Operating System level, existing causal analysis …

The opportunistic network is an emerging and recent area of research. To make this
research area more adaptable for practical and industrial use, there is a need to further …