Zenedge, Inc.

David Allen McKinney

Leon Kuperman

Jose Enrique Hernandez

Fausto Lendeborg

A system detects human activity through browser canvas events to mitigate the effects of an attack on a host, such as an application layer (layer 7) DDoS attack. A proxy, such as a HTTP/HTTPS 'HTTP(S)' proxy server, configured to handle network traffic between a host and clients challenges clients engaging the host. The proxy challenges the clients by injecting code having a beacon and a shared encryption key into the content received from the host prior to transmission of the client. The code, when executed by the client, is configured to monitor user interactions (or lack thereof) with the content at the client in order to determine whether there is human activity at the client. The proxy receives and analyzes the information about interactions (or lack thereof) to determine whether a client is malicious (e.g., non-human activity) or non-malicious (e.g., human activity).

Detecting human activity to mitigate attacks on a host

A system (and method, and computer readable storage medium storing computer program instructions) is configured to determine a fingerprint of a client and qualify client behavior. For example, a proxy positioned between a host and the client may determine the fingerprint of the client and qualify the behavior of clients engaging the host. The client fingerprint provides a relatively stable representation of the client such that the client may be distinguished from the other clients engaging the host and the behavior of the client tracked. Clients engaging the host in a positive manner are prequalified to access the host based on the positive behavior they exhibit. During an attack on the host, such as a DDoS attack, prequalified clients retain access to features and functionality provided by the host to maintain legitimate user experience and better enable the proxy to handle malicious clients.

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Port Saint Lucie, FL, United States of America

David Allen McKinney