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DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

A novel approach to modeling online user behavior extracts and analyzes digital DNA-inspired sequences from users’ online actions. Standard DNA analysis techniques can then discriminate between genuine and spambot accounts.

IEEE Intelligent Systems, 2016

Autori esterni: Angelo Spognardi (DTU Compute, Technical University of Denmark)
Autori IIT:

Roberto Di Pietro

Foto di Roberto Di Pietro

Tipo: Contributo in rivista ISI
Area di disciplina: Computer Science & Engineering

File: Cresci, 2016, DNA-inspired online behavioral modeling and its application to spambot detection.pdf

Attività: Social Media Analysis