Mining Anomalies to Secure Operational Networks with Skytree



Securing networks increasingly requires the ability to collect, process, and understand large, continuous streams of network data. Three of the biggest challenges in securing networks are:
 
(1) mining streams of event logs and network traffic to extract actionable information about the state of the network;
(2) adjusting policies and configurations in response to changing conditions and threats;
(3) having some assurance that the resulting network configurations are correct, predictable, and secure.  
 
Register now and discover the role of machine learning in helping operators manage and secure today’s networks. We will describe past work in applying machine learning to problems in network anomaly detection systems, as well as the potential for machine learning methods to help network operators address a broader range of cybersecurity problems, ranging from insider threat detection to decisions about deployment of limited resources for security functions.  
 
Attendees will learn about how machine learning over network data can be applied to:
  • Anomaly detection, including denial of service attacks and message abuse (spam, phishing, etc.)
  • What-if scenario evaluation
  • Detection of data leaks and insider threats
Sign up now, or click here for future access to the archived recording if you are unable to attend. 
 
Danielle Allen
Skytree Government at
Carahsoft Technology Corp.
703-871-8639 (Direct)
888-662-2724 (Toll-Free) 
danielle.allen@carahsoft.com
www.carahsoft.com/skytree

    Event Type
    Webcast


    This event has no exhibitor/sponsor opportunities


    When
    Thu, Nov 13, 2014, 11:00am - 12:00pm ET


    Cost
    Complimentary:    $ 0.00


    Website
    Click here to visit event website


    Organizer
    Skytree Government at Carahsoft Technology Corp.


    Contact Event Organizer



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