2014/02/25 by Silvia Mitter, Mitter, Silvia, Claudia Wagner +3 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Network Security and Intrusion Detection #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Spam and Phishing Detection #cs.SI #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1402.6288
arxiv created 2014/02/25 · openalex publication_date 2014/02/25 · arxiv updated 2014/02/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the past, online social networks (OSN) like Facebook and Twitter became powerful instruments for communication and networking. Unfortunately, they have also become a welcome target for socialbot attacks. Therefore, a deep understanding of the nature of such attacks is important to protect the Eco-System of OSNs. In this extended abstract we propose a categorization scheme of social bot attacks that aims at providing an overview of the state of the art of techniques in this emerging field. Finally, we demonstrate the usefulness of our categorization scheme by characterizing recent socialbot attacks according to our categorization scheme.