Centripetal Networks, Inc.

Centripetal LLC

Peter P Geremia

Sean A Moore

David K Ahn

Jonathan R Rogers

Robert T Perry

Pierre Mallett, Iii

Keith A George

Vincent Mutolo

Steven Rogers

Richard Goodwin

John W Fenton

Jess P Parnell

Paul Sprague

John Fenton

Pierre Mallett Iii

Iii Pierre Mallett

A threat intelligence gateway (TIG) may protect TCP/IP networks from network (e.g., Internet) threats by enforcing certain policies on in-transit packets that are crossing network boundaries. The policies may be composed of packet filtering rules with packet-matching criteria derived from cyber threat intelligence (CTI) associated with Internet threats. These CTI-derived packet-filtering rules may be created offline by policy creation and management servers, which may distribute the policies to subscribing TIGs that subsequently enforce the policies on in-transit packets. Each packet filtering rule may specify a disposition that may be applied to a matching in-transit packet, such as deny/block/drop the in-transit packet or pass/allow/forward the in-transit packet, and also may specify directives that may be applied to a matching in-transit packet, such as log, capture, spoof-tcp-rst, etc. Often, however, the selection of a rule's disposition and directives that best protect the associated network may not be optimally determined before a matching in-transit packet is observed by the associated TIG. In such cases, threat context information that may only be available (e.g., computable) at in-transit packet observation and/or filtering time, such as current time-of-day, current TIG/network location, current TIG/network administrator, the in-transit packet being determined to be part of an active attack on the network, etc., may be helpful to determine the disposition and directives that may best protect the network from the threat associated with the in-transit packet. The present disclosure describes examples of methods, systems, and apparatuses that may be used for efficiently determining (e.g., accessing and/or computing), in response to the in-transit packet, threat context information associated with an in-transit packet. The threat context information may be used to efficiently determine the disposition and/or one or more directives to apply to the in-transit packet. This may result in dispositions and/or directives being applied to in-transit packets that better protect the network as compared with solely using dispositions and directives that were predetermined prior to receiving the in-transit packet.

Efficient threat context-aware packet filtering for network protection

An enterprise organization may operate a central network and one or more remote networks, each comprising a plurality of computing devices. For protection against malicious actors, the central network may be configured to filter network traffic associated with the computing devices based on identified threats. Traffic corresponding to computing devices connected to the remote network may be tunneled to the central network for filtering by the central network. A tunnel gateway device, associated with the remote network, may efficiently identify which communications are associated with Internet threats, and tunnel such identified traffic to the central network, where actions may be taken to protect the enterprise network.

Cyber protections of remote networks via selective policy enforcement at a central network

A packet-filtering network appliance such as a threat intelligence gateway (TIG) protects TCP/IP networks from Internet threats by enforcing certain policies on in-transit packets that are crossing network boundaries. The policies are composed of packet filtering rules derived from cyber threat intelligence (CTI). Logs of rule-matching packets and their associated flows are sent to cyberanalysis applications located at security operations centers (SOCs) and operated by cyberanalysts. Some cyber threats/attacks, or incidents, are composed of many different flows occurring at a very high rate, which generates a flood of logs that may overwhelm computer, storage, network, and cyberanalysis resources, thereby compromising cyber defenses. The present disclosure describes incident logging, in which a single incident log efficiently incorporates the logs of the many flows that comprise the incident, thereby potentially reducing resource consumption while improving the informational/cyberanalytical value of the incident log for cyberanalysis when compared to the component flow logs. Incident logging vs. flow logging can be automatically and adaptively switched on or off depending on the combination of resource consumption and informational/cyberanalytical value.

Methods and systems for efficient adaptive logging of cyber threat incidents

Methods and systems for protecting a secured network are presented. For example, one or more packet security gateways may be associated with a security policy management server. At each packet security gateway, a dynamic security policy may be received from the security policy management server, packets associated with a network protected by the packet security gateway may be received, and at least one of multiple packet transformation functions specified by the dynamic security policy may be performed on the packets.

Methods and systems for protecting a secured network

Network devices that are inserted inline into network links and process in-transit packets may significantly improve their packet-throughput performance by not assigning L3 IP addresses and L2 MAC addresses to their network interfaces and thereby process packets through a logical fast path that bypasses the slow path through the operating system kernel. When virtualizing such Bump-In-The-Wire (BITW) devices for deployment into clouds, the network interfaces must have L3 IP and L2 MAC addresses assigned to them. Thus, packets are processed through the slow path of a virtual BITW device, significantly reducing the performance. By adding new logic to the virtual BITW device and/or configuring proxies, addresses, subnets, and/or routing tables, a virtual BITW device can process packets through the fast path and potentially improve performance accordingly. For example, the virtual BITW device may be configured to enforce a virtual path (comprising the fast path) through the virtual BITW device.

Methods and systems for efficient virtualization of inline transparent computer networking devices

Enterprise users' mobile devices typically access the Internet without being protected by the enterprise's network security policy, which exposes the enterprise network to Internet-mediated attack by malicious actors. This is because the conventional approach to protecting the mobile devices and associated enterprise network is to tunnel all of the devices' Internet communications to the enterprise network, which is very inefficient since typically only a very small percentage of Internet communications originating from an enterprise's mobile devices are communicating with Internet hosts that are associated with threats. In the present disclosure, the mobile device efficiently identifies which communications are associated with Internet threats, and tunnels only such identified traffic to the enterprise network, where actions may be taken to protect the enterprise network.

Methods and systems for efficient cyber protections of mobile devices

A packet-filtering device may receive packet-filtering rules configured to cause the packet-filtering device to identify packets corresponding to network-threat indicators. The packet-filtering device may receive packets and, for each packet, may determine that the packet corresponds to criteria specified by a packet-filtering rule. The criteria may correspond to one or more of the network-threat indicators. The packet-filtering device may apply an operator specified by the packet-filtering rule. The operator may be configured to cause the packet-filtering device to either prevent the packet from continuing toward its destination or allow the packet to continue toward its destination. The packet-filtering device may generate a log entry comprising information from the packet-filtering rule that identifies the one or more network-threat indicators and indicating whether the packet-filtering device prevented the packet from continuing toward its destination or allowed the packet to continue toward its destination.

Rule-based network-threat detection

A computing system may identify packets received by a network device from a host located in a first network and may generate log entries corresponding to the packets received by the network device. The computing system may identify packets transmitted by the network device to a host located in a second network and may generate log entries corresponding to the packets transmitted by the network device. Utilizing the log entries corresponding to the packets received by the network device and the log entries corresponding to the packets transmitted by the network device, the computing system may correlate the packets transmitted by the network device with the packets received by the network device.

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Portsmouth, NH, United States of America

Peter P Geremia