Cyberattacks on both databases and critical infrastructure have threatened public and
private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy …

Incorporating big data analytics into a particular context brings various challenges that rest
on the model or framework through which individuals or organisations adopt big data to …

Interactions both online and in the emerging Internet of things (IoT) feature distributed
agents with local decision-making capabilities and misaligned incentives. This has …

Aggregating fine-granular data measurements from smart meters presents an opportunity for
utility companies to learn about consumers' power consumption patterns. Several research …

Privacy preservation is one of the greatest concerns in big data. As one of extensive
applications in big data, privacy preserving data publication (PPDP) has been an important …

Through their third-party app installation decisions, users are frequently triggering
interdependent privacy consequences by sharing personal information of their friends who …

In the context of third-party social apps, the problem of interdependency of privacy refers to
users making app adoption decisions which cause the collection and utilization of personal …

The need to develop new systems for detecting and counteracting malware remains
relevant. In addition to malware detection methods, the need to develop new systems for …

Social media platforms generate user profiles to recommend informational resources
including targeted advertisements. The technical possibilities of user profiling methods go …

We study a problem of privacy-preserving mechanism design. A data collector wants to
obtain data from individuals to perform some computations. To relieve the privacy threat to …