Professional Records
Lawyers & Attorneys
Scott Brunza Phones & Addresses
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51 Flat Rock Hill Rd, Old Lyme, CT 06371 (860) 434-3353
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28 Spring Glen Rd, Niantic, CT 06357 (860) 739-3313
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12 Cove Hill Rd, Niantic, CT 06357 (860) 739-3313
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21 Raymond St, New London, CT 06320 (860) 444-1423
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43 South Rd, Groton, CT 06340 (860) 448-1310
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28 Spring Rock Rd, East Lyme, CT 06333 (860) 739-3313
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New Brunswick, NJ
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Great River, NY
Work
Position:
Professional/Technical
Education
Degree:
Associate degree or higher
Resumes
Resumes
Scott Brunza
View pageBusiness Records
Name / Title
Company / Classification
Phones & Addresses
FOUNDER
GREEN MONKEY, LLC
360 Old Colchester Rd, Amston, CT 06231
28 Spg Gln Rd, Niantic, CT 06357
28 Spg Gln Rd, Niantic, CT 06357
Founder, Principal
TESSERA COMPUTING, LLC
Business Services at Non-Commercial Site · Nonclassifiable Establishments
Business Services at Non-Commercial Site · Nonclassifiable Establishments
29 Charter Oak Dr, East Lyme, CT 06333
51 Flt Rock Hl Rd, Old Lyme, CT 06371
51 Flt Rock Hl Rd, Old Lyme, CT 06371
Publications
Us Patents
System And Method For Privacy-Enhanced Cyber Data Fusion Using Temporal-Behavioral Aggregation And Analysis
View pageUS Patent:
20120072983, Mar 22, 2012
Filed:
Sep 20, 2010
Appl. No.:
12/885723
Inventors:
Owen McCUSKER - East Lyme CT, US
Scott BRUNZA - Old Lyme CT, US
Scott BRUNZA - Old Lyme CT, US
Assignee:
Sonalysts, Inc. - Waterford CT
International Classification:
G06F 11/00
US Classification:
726 22
Abstract:
A method of determining, within a deployed environment over a data communication network, network threats and their associated behaviors. The method includes the steps of acquiring sensor data that identifies a specific contact, normalizing the acquired sensor data to generate transformed sensor data, deriving, for the specific contact from the transformed sensor data, a contact behavior feature vector for each of a plurality of time periods, determining, for the specific contact, scores associated with each of a plurality of classification modules to form a contact score vector, the contact score vector being independent of an identity of the specific contact, identifying a type of the specific contact based on the contact score vector, and determining a threat type, based on the contact behavioral profile and the contact score vector, when the specific contact is determined to be a threat in the identifying step.