NetDER: An Architecture for Reasoning About Malicious Behavior

SIMARI, GERARDO I.; PAREDES, JOSE N.; FALAPPA, MARCELO A.; MARTINEZ, MARIA VANINA

INFORMATION SYSTEMS FRONTIERS

SPRINGER

Lugar: Berlin; Año: 2020

1387-3326

Malicious behavior in social media has many faces, which for instance appear in the form of bots, sock puppets, creationand dissemination of fake news, Sybil attacks, and actors hiding behind multiple identities. In this paper, we propose theNETDER architecture, which takes its name from its two main modules: Network Diffusion and ontological reasoningbased on Existential Rules), to address these issues. This initial proposal is meant to serve as a roadmap for research anddevelopment of tools to attack malicious behavior in social media, guiding the implementation of software in this domain,instead of a specific solution. Our working hypothesis is that these problems ? and many others ? can be effectively tackledby (i) combining multiple data sources that are constantly being updated, (ii) maintaining a knowledge base using logicbased formalisms capable of value invention to support generating hypotheses based on available data, and (iii) maintaininga related knowledge base with information regarding how actors are connected, and how information flows across theirnetwork. We show how these three basic tenets give rise to a general model that has the further capability of addressingmultiple problems at once.