View Complete Reference

Kalameyets, M, Levshun, D, Soloviev, S, Chechulin, A and Kotenko, I (2020)

Social networks bot detection using Benford’s law

SIN 2020: 13th International Conference on Security of Information and Networks, Article No.: 19. pp. 1–8.

ISSN/ISBN: Not available at this time. DOI: 10.1145/3433174.3433589

Abstract: The paper considers the task of bot detection in social networks. It checks the hypothesis that bots break Benford’s law much more often than users, so one can identify them. A bot detection approach is proposed based on experiments where the test results for bot datasets of different classes and real-user datasets of different communities are evaluated and compared. The experiments show that automatically controlled bots possibly can be identified by disagreement with Benford’s law, while human-orchestrated bots are not.

@inproceedings{, author = {Kalameyets, Maksim and Levshun, Dmitry and Soloviev, Sergei and Chechulin, Andrey and Kotenko, Igor}, title = {Social Networks Bot Detection Using Benford’s Law}, year = {2020}, isbn = {9781450387514}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {}, doi = {10.1145/3433174.3433589}, booktitle = {Proceedings of 13th International Conference on Security of Information and Networks}, articleno = {19}, numpages = {8}, location = {Merkez, Turkey}, series = {SIN 2020} }

Reference Type: Conference Paper

Subject Area(s): Computer Science