Rapid7, Inc.

Gianpaolo Tedesco

Ralph McTeggart

Martin Hutchings

Sarah Addis

Luke Coughlan

Jeff Myers

Niall Cochrane

Luis Ramos Dos Santos Lopes

Ryan Williams

Daniel Skelton

Darragh Delaney

Erran Carey

Lars-Kristian Svenoy

Dan-Adrian Moinescu

John Brosnan

Andriy Lyubka

Morgan Doyle

Disclosed herein are methods, systems, and processes for centralized containerized deployment of network traffic sensors to network sensor hosts for deep packet inspection (DPI) that supports various other cybersecurity operations. A network sensor package containing a pre-configured network sensor container is received by a network sensor host from a network sensor deployment server. Installation of the network sensor package on the network sensor host causes execution of the network sensor container that further causes deployment of an on-premise network sensor along with a network sensor management system, a DPI system, and an intrusion detection/prevention (IDS/IPS) system. The configurable on-premise network sensor is deployed on multiple operating system distributions of the network sensor host and generates actionable network metadata using DPI techniques for optimized log search and management and improved intrusion detection and response (IDR) operations.

Managed deployment and configuration of network sensors

Disclosed herein are methods, systems, and processes for performing optimized batched packet processing in deep packet inspection (DPI) computing systems. A batch of network packets is received. A stateless processing operation is performed for the batch that includes updating a current time for the batch, decoding the network packets in the batch, creating a flowhash lookup key for each decoded network packet, and generating a first output that includes the current time and corresponding flow-hash lookup keys for the decoded network packets. Next, a stateful processing operation is performed for the batch that includes accessing the first output of the stateless processing operation, dividing the batch into multiple sub-batches, performing a parallel flow-hash table lookup operation on the network packets that are part of the sub-batches, and generating a second output that includes the sub-batches with associated packet flows. Finally, a batch-optimized DPI processing operation is performed that includes accessing the second output of the stateful processing operation and performing the DPI processing operation on a per-packet basis or on a per-flow basis.

Pre-flow grouping of packets for optimized deep packet inspection

Secure configuration of a network sensor on a network sensor host

Deployable network sensor for multiple platforms

Disclosed herein are methods, systems, and processes for performing optimized batched packet processing in deep packet inspection (DPI) computing systems. A batch of network packets is received. A stateless processing operation is performed for the batch that includes updating a current time for the batch, decoding the network packets in the batch, creating a flow-hash lookup key for each decoded network packet, and generating a first output that includes the current time and corresponding flow-hash lookup keys for the decoded network packets. Next, a stateful processing operation is performed for the batch that includes accessing the first output of the stateless processing operation, dividing the batch into multiple sub-batches, performing a parallel flow-hash table lookup operation on the network packets that are part of the sub-batches, and generating a second output that includes the sub-batches with associated packet flows. Finally, a batch-optimized DPI processing operation is performed that includes accessing the second output of the stateful processing operation and performing the DPI processing operation on a per-packet basis or on a per-flow basis.

Optimized batched packet processing for deep packet inspection

Network sensor deployment for deep packet inspection

Growing community of inventors

Seoul, South Korea

Gianpaolo Tedesco