Citrix Systems, Inc.

Josephine Suganthi Joseph Leo

Seth Kenneth Keith

Kasirao Velugu

Ratnesh Singh Thakur

Rama Rao Katta

Aman Agrawal

Praveen Dandin

Rakesh Kumar Thangellapalli

Described embodiments provide systems and methods for detecting autonomous programs is provided. A device, intermediary to a plurality of clients and a plurality of servers, can receive a first request from a first client of the plurality of clients to a server of the plurality of servers via a connection between the device and the first client. The device can include, into a response from the server to the first client, a uniform resource locator (URL) comprising one or more randomly generated characters within a predetermined character space. The device can determine that the first client has an autonomous program responsive to receiving a second request from the first client using the URL. The device can terminate, responsive to the determination, the connection to the first client.

Generating URLs to detect autonomous programs systems and methods

A computer system is provided. The computer system includes a memory, a network interface, and a processor coupled to the memory and the network interface. The processor is configured to receive a response to a request to verify whether an ostensible client of a service is actually a client or a bot, the response including an indicator of whether the ostensible client is a client or a bot; receive information descriptive of interoperations between the ostensible client and the service that are indicative of whether the ostensible client is a client or a bot; and train a plurality of machine learning classifiers using the information and the indicator to generate a next generation of the plurality of machine learning classifiers.

Adaptive anomaly detector

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Sunnyvale, CA, United States of America

Josephine Suganthi Joseph Leo