Trend Micro Inc.

Hewlett-packard Development Company, L.p.

Craig Botkin

Leslie Zsohar

Wei Lu

Randal Mullin

Brian K Campbell

Edward A Wartha

Ronald S Stites

Josiah Dede Hagen

Jonathan Edward Andersson

Brandon Niemczyk

Shoufu Luo

Peter Andriukaitis

Examples relate to extracting data from network communications. In one example, a programmable hardware processor may: receive a first set of network packets; store each network packet included in the first set in a first storage device; identify, from each network packet included in a subset of the first set of network packets, data included in the network packet, the data meeting at least one condition defined by first programmable logic of the programmable hardware processor; and for each network packet included in the subset: extract, from the network packet, data of interest; and store, in a second storage device, i) the extracted data of interest, and ii) an identifier associated with the network packet.

Extracting data from network communications

In one embodiment, local begin and end tags are detected by a network security device to determine a local context of a network traffic flow, and a local feature vector is obtained for that local context. At least one triggering machine learning model is applied by the network security device to the local feature vector, and the result determines whether or not deeper analysis is warranted. In most cases, very substantial resources are not required because deeper analysis is not indicated. If deeper analysis is indicated, one or more deeper machine learning model may then be applied to global and local feature vectors, and regular expressions may be applied to packet data, which may include the triggering data packet and one or more subsequent data packets. Other embodiments, aspects and features are also disclosed.

Methods and apparatus for intrusion prevention using global and local feature extraction contexts

Examples of implementations relate to metadata extraction. For example, a system of privacy preservation comprises a physical processor that executes machine-readable instructions that cause the system to normalize a network traffic payload with a hardware-based normalization engine controlled by a microcode program; parse the normalized network traffic payload, as the network traffic payload passes through a network, by performing a parsing operation of a portion of the normalized network traffic payload with a hardware-based function engine of a plurality of parallel-distributed hardware-based function engines controlled by the microcode program; and provide the hardware-based function engine with a different portion of the normalized network traffic payload responsive to an indication, communicated through a common status interface, that the different portion of the normalized network traffic payload is needed to complete the parsing operation.

Metadata extraction

Examples relate to organizing and storing network communications. In one example, a programmable hardware processor may: receive a first set of network packets; identify, for each network packet included in the first set, a network flow, each network flow including at least one related packet; store each network packet included in a subset of the first set in a first data storage device; for each network packet included in the subset, organize the network packet according to the network flow identified for the network packet; identify, from the network flows, a set of network flows that each have at least one characteristic of interest; and store, in a second data storage device, each network packet included in each network flow of the set of network flows.

Organizing and storing network communications

Methods and systems are provided for hardware-based pattern matching. In an embodiment, an intrusion-prevention system (IPS) identifies a full match between a subject data word comprising subject-data blocks and a signature data pattern comprising signature-data blocks. The IPS receives the subject data word via a network interface, and thereafter makes a partial-match determination that two or more but less than all of the subject-data blocks respectively match the same number of the signature-data blocks stored in partial-match hardware with respect to both value and position. Thereafter, the IPS makes a full-match determination that all of the subject-data blocks respectively match all of the signature-data blocks stored in the IPS's full-match hardware with respect to both value and position. The IPS then stores an indicator that the full-match determination has been made, and may carry out one or more additional intrusion-prevention responses as well.

Methods and systems for full pattern matching in hardware

According to an example, an intrusion-prevention system may include a network interface to receive a subject data word via a network. The intrusion-prevention system may include hardware to determine whether the subject data word partially matches a signature data pattern, and determine whether the subject data word fully matches the signature data pattern if the subject data word partially matches the signature data pattern.

Growing community of inventors

Austin, TX, United States of America

Craig Botkin