1 / 1

Poster Title

Poster Title. The Hybrid Toolkit.

vahe
Download Presentation

Poster Title

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Poster Title The Hybrid Toolkit The Hybrid Toolkit is a flexible, extensible collection of software tools for capturing, storing, analyzing, and visualizing data. Hybrid was initially developed under the Sandia LDRD program as a system to bring scalable data analytics to enterprise security analysts working on the problem of detecting phishing and spear phishing attacks in email messages. • Benefits • Cross platform development and application • Windows, MacOS, Linux • Deployment extensibility • Desktop, server, HPC system • Development support • Multi-core computation • Extensible logging module • Rapid prototyping • Proven production experience Web interfaces support cyber team collaboration The broad applicability of the capabilities currently in Hybrid has led to adoption of the toolkit for addressing a wider range of problems: data exfiltration, malware analysis, host-based anomaly detection, and large-scale network emulation, to name a few. Hybrid Toolkit Details • Python implementation • Worker-Manager-Executor • computation model • Data and I/O abstraction • Statefuldata • Data storage • CouchDB • MongoDB • Data processing • Plaintext (Unicode and ASCII) • PDF • MS Word • HTML • SMTP • Data analysis • Descriptive statistics • Clustering: Partitional (e.g. K-Means) and hierarchical • Topic modeling: Latent DirichletAllocation • Classification: k-nearest neighbor, multi-layer perceptrons, sentiment analysis • Application integration • Bro (http://www.bro.org) • Splunk(http://www.splunk.com) • Contacts: • Warren Davis (PI) wldavis@sandia.gov • Danny Dunlavydmdunla@sandia.gov • Christopher Nebergallcneberg@sandia.gov Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND No. 2011-XXXXP

More Related