How to map custom boundaries in Kibana with reverse geocoding This entry was posted in IP Geolocation and tagged case study, cybersecurity, geolocation limitations, security on Apby Christopher Luna. Figuring which of these offenders may be in your area would be like looking for a needle in a haystack. If there’s a pool of 800,000 potential cases, all of which occur in the geographically nebulous space of “the internet,” how do you distribute these cases among the thousands of people-law enforcement officers-who have devoted their lives to fighting child sexual abuse? Without a method to effectively sort investigations into geographical jurisdictions, the cases are unmanageable. The issue isn’t a lack of people who care. The sheer volume of child sexual abuse materials being shared online poses what was, for many years, an impossible logistical challenge. And the investigation of sharing by law enforcement has time and time again led to the rescue of a different child being actively abused. The sharing of these images is a re-victimization of the abused, haunting them well into their adulthood.
Every month, more than 800,000 people share images and videos of children being sexually abused. Warning: The following article discusses child sexual abuse and may be disturbing to some readers. Leveraging the strengths and understanding the limits of IP geolocation, the Rescue Lab plays a critical role in rescuing children from online sexual exploitation crimes.