BotMesh

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,921.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N66001-11-P-5120
Agency Tracking Number:
N111-083-0074
Solicitation Year:
2011
Solicitation Topic Code:
N111-083
Solicitation Number:
2011.1
Small Business Information
ATC - NY
33 Thornwood Drive, Suite 500, Ithaca, NY, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
101321479
Principal Investigator:
Stephen Brueckner
Technical Director
(607) 257-1975
steve@atc-nycorp.com
Business Contact:
Richard Smith
Controller
(607) 257-1975
rick@atc-nycorp.com
Research Institution:
Stub




Abstract
Botnets and other large-scale malicious behaviors present a pervasive and evolving threat to cyber security. Stealth botnets and distributed, stealthy cyber attacks present a particular challenge to cyber defense because their malicious behavior is difficult to detect. State-of-the-art and next-generation cyber security algorithms will be capable of detecting and preventing stealthy and distributed cyber attacks. Effectively using these algorithms requires a network security infrastructure capable of collecting network traffic information for a large number of networks over long periods of time, making decisions based on accumulated network traffic information, and implementing new policies on network security hardware. ATC-NY will develop BotMesh, a network sensor infrastructure and framework for cyber security algorithms. The BotMesh architecture manages the collection and storage of filtered network traffic information from a large, distributed collection of network sensors, the application of computationally-intensive algorithms to collected data, visualization and decision-making based on the results of these algorithms, and the alteration of network security policies in response to identified threats. With BotMesh, a future algorithm to detect a type of stealthy botnet attack can be rapidly implemented and deployed on an existing network of sensors, quickly detecting, identifying, and defending against hostile stealth botnets and similar threats.

* information listed above is at the time of submission.

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