MyTracker is continuously enhancing its systems to combat fraud. Recently, we have added:
Single metric to detect bots and emulated devices
Checks of all sessions as part of web campaigns
Fraud filters for the Report Builder
Fake Data metric for detecting fraud in lead generation campaigns
Our newest addition to MyTracker is the Malicious IP Addresses metric. It serves to help identify mobile app installations and website sessions that originate from data centers flagged as sources of fraudulent attacks or spam.
The Malicious IP Addresses metric is part of the efforts to detect and block three types of general invalid traffic (GIVT):
Data center traffic: this category involves traffic originating from data centers identified by the system as such by comparing it against its accumulated database and subsequently flagged as blocked IP addresses
Bad browser (spider) traffic: this category involves traffic generated by bots and search engine robots. Events originating from these sources are filtered and put on a separate list labeled as “Robots”
Excessive activity: this category involves suspicious activity that deviates from typical human behavior. It is monitored using a three-level real-time algorithm that checks each interaction with the system to identify excessive impression volumes, repeated clicks, clicks without impressions, and other excessive activity that is not humanly possible
To implement the Malicious IP Addresses metric, the Fraud Scanner’s team has compiled a comprehensive database of data center IP addresses. It covers the addresses that fraudsters use for spam attacks, those associated with search engine bots, and addresses exhibiting suspicious activity.
In Fraud Scanner, each installation or session is assessed individually using the Malicious IP Addresses metric and a variety of other filters applied automatically.