A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
HoloScope: Topology-and-Spike Aware Fraud Detection
[article]
2017
arXiv
pre-print
Preserved Fulltext
Other Versions
Hence, we propose HoloScope, which uses information from graph topology and temporal spikes to more accurately detect groups of fraudulent users. ...
Extensive experiments showed that HoloScope achieved significant accuracy improvements on synthetic and real data, compared with state-of-the-art fraud detection methods. ...
Our HoloScope metric detects fraud from three perspectives: topology connection, timestamps, and rating score. ...
arXiv:1705.02505v2
fatcat:rgumngio75g4tez4xzag4mpyqi
Blackmarket-driven Collusion on Online Media: A Survey
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We believe that collusive entity detection is a newly emerging topic in anomaly detection and cyber-security research in general and the current survey will provide readers with an easy-to-access and comprehensive ...
list of methods, tools and resources proposed so far for detecting and analyzing collusive entities on online media. ...
[83] formulated a novel suspiciousness metric from graph topology and spikes to detect fraudulent users in multiple rating platforms (BookAdvocate, Amazon). e authors proposed HoloScope, an unsupervised ...
arXiv:2008.13102v1
fatcat:vi6yiw5u7rbtvezi6fg32vcmwi
Blackmarket-Driven Collusion on Online Media: A Survey
2021
ACM/IMS Transactions on Data Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other than connectivity, these platforms also serve multiple purposes, such as education, promotion, updates, and awareness. ...
We believe that collusive entity detection is a newly emerging topic in anomaly detection and cyber-security research in general, and the current survey will provide readers with an easy-to-access and ...
[92] proposed HoloScope to find a group of suspicious users in rating platforms based on the contrasting behavior of fraudsters and honest users in terms of topology, temporal spikes, and rating deviation ...
doi:10.1145/3517931
fatcat:7fvgujegh5hohdiemsok6kzviq