The leak of hydrocarbon-carrying pipelines represents a serious incident, and if it is in a gas
line, the economic exposure would be significant due to the high cost of lost or deferred …

Money laundering presents a pervasive challenge, burdening society by financing illegal
activities. To more effectively combat and detect money laundering, the use of network …

Shell companies work in financial interaction with other companies to commit several crimes
such as concealing resources of illicit origin (money laundering), tax fraud (tax evasion) …

The present study analyzes the offshoring network constructed from the information
contained in the Panama Papers, characterizing worldwide regions and countries as well as …

Botnets are an ever-growing threat to private users, small companies, and even large
corporations. They are known for spamming, mass downloads, and launching distributed …

Studying corruption presents unique challenges. Recent work in the spirit of computational
social science exploits newly available data and methods to give a fresh perspective on this …

Interpretability is a key feature to broaden a conscious adoption of machine learning models
in domains involving safety, security, and fairness. To achieve the interpretability of complex …

After the leak of 11.5 million documents from the Panamanian corporation Mossack
Fonseca, an intricate network of offshore business entities has been revealed. The emerging …

In the BigData era, large graph datasets are becoming increasingly popular due to their
capability to integrate and interconnect large sources of data in many fields, eg, social …

The Panama Papers comprise one of the most recent influential leaks containing detailed
information on intermediary companies (such as law firms), offshore entities and company …