Interpreting Graph-based Sybil Detection Methods as Low-Pass Filtering

06/22/2022
by   Satoshi Furutani, et al.
0

Online social networks (OSNs) are threatened by Sybil attacks, which create fake accounts (also called Sybils) on OSNs and use them for various malicious activities. Therefore, Sybil detection is a fundamental task for OSN security. Most existing Sybil detection methods are based on the graph structure of OSNs, and various methods have been proposed recently. However, although almost all methods have been compared experimentally in terms of detection performance and noise robustness, theoretical understanding of them is still lacking. In this study, we show that existing graph-based Sybil detection methods can be interpreted in a unified framework of low-pass filtering. This framework enables us to theoretically compare and analyze each method from two perspectives: filter kernel properties and the spectrum of shift matrices. Our analysis reveals that the detection performance of each method depends on how well low-pass filtering can extract low frequency components and remove noisy high frequency components. Furthermore, on the basis of the analysis, we propose a novel Sybil detection method called SybilHeat. Numerical experiments on synthetic graphs and real social networks demonstrate that SybilHeat performs consistently well on graphs with various structural properties. This study lays a theoretical foundation for graph-based Sybil detection and leads to a better understanding of Sybil detection methods.

READ FULL TEXT

page 1

page 12

research
06/09/2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Twitter bot detection has become an increasingly important task to comba...
research
07/24/2023

Fake News Detection Through Graph-based Neural Networks: A Survey

The popularity of online social networks has enabled rapid dissemination...
research
06/30/2023

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection

As malicious actors employ increasingly advanced and widespread bots to ...
research
04/09/2020

Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks

In this paper, we study the problem of early detection of fake user acco...
research
07/26/2017

The Advantage of Evidential Attributes in Social Networks

Nowadays, there are many approaches designed for the task of detecting c...
research
03/22/2013

Network Detection Theory and Performance

Network detection is an important capability in many areas of applied re...
research
07/25/2021

Comprehensive Studies for Arbitrary-shape Scene Text Detection

Numerous scene text detection methods have been proposed in recent years...

Please sign up or login with your details

Forgot password? Click here to reset