Level 3 Communications, LLC

Skyler Jameson Bingham

John Sherwood Reynolds, Ii

Michael Benjamin

Brad Bernay Doctor

Keshava Berg

Justin George Mohr

Thomas B Boatwright

Jeffrey Bickford

Mark R Shirley

A route viewing system includes a computing system that receives information associated with one or more routes through a network, and identifies the routes that are associated with at least one illicit user computer used by an illicit user. The computing system then obtains a source location of a source address of the routes and a destination location of a destination address of the routes, and displays the routes on a geographical display at the source location of the source address and the destination location of the destination address of each of the routes.

Illicit route viewing system and method of operation

Aspects of the present disclosure involve systems and methods computing devices to access a public network posing as a user to the network to detect one or more malware programs available for downloading through the network. More particularly, a malware detection control system utilizes a browser executed on a computing device to access a public network, such as the Internet. Through the browser, sites or nodes of the public network are accessed by the control system with the interactions with the sites of the public network designed to mimic or approximate a human user of the browser. More particularly, the control system may apply the one or more personality profiles to the browser of the computing device to access and interact with the nodes of the public network. Further, the control system may monitor the information retrieved from the network sites to detect the presence of malware within the nodes.

Creating malware prevention rules using malware detection and prevention system

Methods and systems for identifying threats within a network include collecting network traffic data and providing the network traffic data to a classifier configured to identify patterns within the network traffic data consistent with malicious computing devices. The computing devices identified by the classifier are then validated to confirm whether they are, in fact, malicious. In one implementation, such validation is accomplished by interrogating suspected malicious computing devices with messages according to a particular communication protocol and determining whether corresponding responses received form the malicious computing devices are similarly in accordance with the communication protocol. In certain implementations, after identification and validation of a malicious computing device, an emulated computing device is used to continue communication with the malicious computing device and to log characteristics of such communications to further train the classifier.

Network threat validation and monitoring

Malware detection and prevention system

Implementations of the present disclosure involve a system and/or method for identifying and mitigating malicious network threats. Network data associated is retrieved from various sources across a network and analyzed to identify a malicious network threat. When a threat is found, the system performs a mitigating action to neutralize the malicious network threat.

Apparatus, system and method for identifying and mitigating malicious network threats

Systems and methods for automatically provisioning honeynets are disclosed. The honeynets continuously gather and capture unauthorized network traffic and/or other information being transmitted, processed, accessed, and/or executed within the honeynet network that is indicative of a network threat or attack by unauthorized users.

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Superior, CO, United States of America

Skyler Jameson Bingham