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

Academic Article
Publication Date:
2016
abstract:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
digital DNA
List of contributors:
Authors of the University:
Handle:
https://iris.cnr.it/handle/20.500.14243/325433
Published in:
IEEE INTELLIGENT SYSTEMS (ONLINE)
Journal