Abstract: Every day, thousands of routing “hijacks” occur on the Internet, almost all of them benign. The malicious ones and the resulting misdirection of Internet traffic can be identified by applying sophisticated analytics to extensive global real-time feeds of Border Gateway Protocol (BGP) routing updates. When legitimate attacks are discovered, the automated analysis may be augmented with Domain Name Service (DNS) data (to determine the likely targets), traceroute data (to determine if they represent Man-In-The-Middle exploits), interred business relationships (to understand the scope of the impacts) and even the raw BGP messages. These techniques can be used to uncover attacks against both commercial and government entities.

Abstract: Conventional internet routing is handled using routing protocols such as the Border Gateway Protocol (BGP). However, simple BGP does not account for latency, packet loss, or cost. To address this problem, smart routing systems that route traffic fast and in a cost-effective manner are implemented. In one approach, smart routing systems measure, compare, and analyze round-trip latencies and other metrics between a customer premises and one or more endpoints. Optimal inbound and outbound transit providers are selected for each endpoint based on these measurements. Other smart routing systems collect and analyze Real User Monitoring (RUM) data to predict latency performance of different content origins for serving data to a particular client based on the client's IP address and the content origins' IP addresses, which are ranked by performance.

Abstract: Conventional internet routing is handled using routing protocols such as the Border Gateway Protocol (BGP). However, simple BGP does not account for latency, packet loss, or cost. To address this problem, smart routing systems that route traffic fast and in a cost-effective manner are implemented. In one approach, smart routing systems measure, compare, and analyze round-trip latencies and other metrics between a customer premises and one or more endpoints. Optimal inbound and outbound transit providers are selected for each endpoint based on these measurements. Other smart routing systems collect and analyze Real User Monitoring (RUM) data to predict latency performance of different content origins for serving data to a particular client based on the client's IP address and the content origins' IP addresses, which are ranked by performance.

Abstract: Conventional internet routing is handled using routing protocols such as the Border Gateway Protocol (BGP). However, simple BGP does not account for latency, packet loss, or cost. To address this problem, smart routing systems that route traffic fast and in a cost-effective manner are implemented. In one approach, smart routing systems measure, compare, and analyze round-trip latencies and other metrics between a customer premises and one or more endpoints. Optimal inbound and outbound transit providers are selected for each endpoint based on these measurements. Other smart routing systems collect and analyze Real User Monitoring (RUM) data to predict latency performance of different content origins for serving data to a particular client based on the client's IP address and the content origins' IP addresses, which are ranked by performance.

Abstract: Conventional internet routing is handled using routing protocols such as the Border Gateway Protocol (BGP). However, simple BGP does not account for latency, packet loss, or cost. To address this problem, smart routing systems that route traffic fast and in a cost-effective manner are implemented. In one approach, smart routing systems measure, compare, and analyze round-trip latencies and other metrics between a customer premises and one or more endpoints. Optimal inbound and outbound transit providers are selected for each endpoint based on these measurements. Other smart routing systems collect and analyze Real User Monitoring (RUM) data to predict latency performance of different content origins for serving data to a particular client based on the client's IP address and the content origins' IP addresses, which are ranked by performance.