Proxy detection API setup and implementation can be added to an IP block list if it’s linked to malicious activity, spam or other cyber threats. When an attack is detected, these blocks prevent the offending IP from accessing a website or online services, protecting businesses from damage to their reputations and financial losses.

While many IP address blacklists are maintained by independent entities and shared online, they’re not foolproof. They face the challenge of detecting new malicious activities and keeping up with dynamic addressing, which often involves IP address reuse. In these cases, good users can be unfairly blocked by a blacklist.

Proxy Detection Database to Filter Risky IP Addresses: Enhance Online Security

To combat this issue, researchers at USC Viterbi have developed a machine learning algorithm to better detect malicious behavior and identify IP addresses that could be falsely flagged. Their approach focuses on identifying the types of behaviors that indicate a bot or fraudster, such as multiple failed login attempts and rapid-fire form submissions. Combined with geolocation tools that link an IP to its internet service provider and domain name, this algorithm can provide a more precise assessment of an IP’s trustworthiness.

The best way to protect against this threat is to implement IP blocklists in your business’s cybersecurity defenses. This is commonly done by adding them to firewall policies or using a free online tool like Lupovis Prowl. When an attacker’s IP is on a blocklist, it prevents them from communicating with your business, and it can also cause email delivery problems or other digital issues.