Eric C Olson

US Patent:

8484217, Jul 9, 2013

Filed:

Mar 10, 2011

Appl. No.:

13/045028

Inventors:

Manoj Kumar Srivastava - Reston VA, US
William Andrews Walker - Springfield VA, US
Eric Alexander Olson - Alexandria VA, US
Steven Robert Smith - Vienna VA, US

Assignee:

QINETIQ North America, Inc. - McLean VA

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707738, 707748, 707754

Abstract:

Methods and systems for collecting and processing large volumes of data to determine the relevancy and value thereof comprise: deploying one or more data retrieval modules to interface with one or more data sources within the local network, wherein the one or more data retrieval modules comprise executable program code; executing the one or more data retrieval modules to perform operations comprising: accessing application data representing data stored or communicated through the one or more data sources; and forwarding the application data for analysis; and analyzing the forwarded application data to determine whether it is relevant to the topic, wherein the analyzing is performed by one or more devices within the local network.

US Patent:

20090327487, Dec 31, 2009

Filed:

Jun 10, 2009

Appl. No.:

12/481897

Inventors:

Eric Olson - Alexandria VA, US
Greg Ogorek - Ashburn VA, US

International Classification:

G06F 15/173

US Classification:

709224

Abstract:

A system and method for proactively discovering DNS resolvers in a network, comprising: sending IP addresses in the network to a scanning application; directing the scanning application to query each computer that corresponds to each IP address for information indicating whether each computer is a DNS resolver or a non DNS resolver; and identifying each computer as a DNS resolver or a non DNS resolver based on the information.

US Patent:

20120096553, Apr 19, 2012

Filed:

Oct 19, 2010

Appl. No.:

12/907721

Inventors:

Manoj Kumar Srivastava - Reston VA, US
William Andrews Walker - Springfield VA, US
Eric Alexander Olson - Alexandria VA, US

International Classification:

G06F 21/00
G06F 15/16

US Classification:

726 24, 709206

Abstract:

Methods and systems for detecting social engineering attacks comprise: extracting one or more non-semantic data items from an incoming email; determining whether the one or more non-semantic data items match information stored in a data store of previously collected information; performing behavioral analysis on the one or more non-semantic data items; analyzing semantic data associated with the email to determine whether the non-semantic data matches one or more patterns associated with malicious emails; and based on the determining, performing, and analyzing, identifying the email as potentially malicious or non-malicious. The system also includes processes for collecting relevant information for storage within the data store and processes for harvesting information from detected social engineering attacks for entry into the data store and seeding of the collection processes.

US Patent:

20160012223, Jan 14, 2016

Filed:

Jul 28, 2015

Appl. No.:

14/811634

Inventors:

- Reston VA, US
William Andrews WALKER - Springfield VA, US
Eric Alexander OLSON - Alexandria VA, US

International Classification:

G06F 21/56
H04L 29/06

Abstract:

This disclosure describes a system, method, and apparatus for determining the likelihood of whether a digital document contains potentially malicious content by a scoring module configured to provide a page score for the digital document representing the likelihood that the document contains potentially malicious content, the scoring module using at least one of a Word Expression. The Word Expression is an equation having at least one variable representing a number of occurrences of potentially malicious content in the digital document. The scoring module is capable of providing both a real-time and a post-production evaluation of the digital document, and contributes an output value representing the calculated likelihood of potentially malicious content being present in the digital document. The scoring module is also configured to utilize inheritance, such that the digital document score is based on formulas within its own report and also one or more of one or more parent reports.

Address:

1937 N Upton St, Arlington, VA 22207

Phone:

7033124762

VIN:

5FNRL38697B021868

Make:

HONDA

Model:

ODYSSEY

Year:

2007