The International Journal of Cyber Diplomacy is a new publication, edited by the National Institute for Research and Development in Informatics. It aims to host quality content advancing a new debate into intersection between cyber issues and diplomacy.

This research deals certain with issues regarding downloading data from the Internet, i.e., Internet page advertising, and certain mechanisms to take care of the integrity of the data that is put into the dedicated processing context afterwards. The work also relates to e-commerce, as some advertising scenarios provide high error rates with pricing, which may be unacceptable in various scenarios, such as renting or selling a home. This paper presents a brief overview of the outlier detection methods and machine learning-based classifiers that are used to determine the number of anomalies in the analyzed dataset. This work contributes to the operation of organizations that deal with data accuracy and integrity, such as home rental or selling agencies.

The paper is outlining an experimentally created framework for multiple human biometrics fusion in support to constantly evolving complex cyberthreats landscape identification. A “scenario method” approach, in combination with experts’ based decision support and users’ biometric “validation-in-advance”, are considered. Practical examples are also given to the proposed ideas, providing a comprehensive outlook to the problem.