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Matthew Jerome Noe, 4241 Chadbourne Way, Oakland, CA 94619

Known as:
Matthew J Noe Matthew Jerome Fernandes Matthew J Fernandes Matth Fernandez
Related to:
Spencer L Page 49

Matthew Noe Phones & Addresses

Oakland, CA   

Pleasanton, CA   

Castro Valley, CA   

Fremont, CA   

Fayetteville, NC   

Livermore, CA   

Saint Hedwig, TX   

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Matthew Jerome Noe
Matthew Jerome Noe

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Work

Company: Hks Nov 2012 Address: Washington D.C. Metro Area Position: Forum member

Education

Degree: Master School / High School: Southern California Institute of Architecture 2009 to 2011 Specialities: Architecture

Industries

Architecture & Planning
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Matthew Noe resumes & CV records

Resumes

Matthew Noe Photo 30

Graphic Designer/Artist At Mwtn/ Forum Member Hks

Position:
Forum Member at HKS
Location:
Silver Spring, Maryland
Industry:
Architecture & Planning
Work:
HKS - Washington D.C. Metro Area since Nov 2012
Forum Member
Education:
Southern California Institute of Architecture 2009 - 2011
Master, Architecture The Ohio State University 2005 - 2009
Bachelor's, Architecture

Publications & IP owners

Us Patents

Alert Dependency Discovery

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/264264
Inventors:
- Palo Alto CA, US
Karan Jayesh Bavishi - San Francisco CA, US
Daniel Talamas Cano - Palo Alto CA, US
John Louie - Redwood City CA, US
Chetas Joshi - Mountain City CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
G06F 11/32
G06F 11/30
G06F 11/34
Abstract:
Various embodiments provide for alert generation based on alert dependency. For some embodiments, the alert dependency checking facilitates alert noise reduction. Various embodiments described herein dynamically find or discover alert dependencies based on one or more alerts currently active, one or more active alerts generated in the past, or some combination of both. Various embodiments described herein provide alert monitoring that adapts based on an alert state of a machine. Various embodiments described herein generate a health score for a machine based on an alert state of the machine. Various embodiments described herein provide a tool for managing definitions of one or more alerts that can be identified as an active alert for a machine.

Realtime Detection Of Ransomware

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/263297
Inventors:
- Palo Alto CA, US
Di Wu - Newark CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
G06F 21/55
G06F 16/174
G06N 20/20
G06F 16/17
G06F 9/448
Abstract:
Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.

Real-Time Detection Of System Threats

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/263319
Inventors:
- Palo Alto CA, US
Di Wu - Newark CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
G06F 21/55
G06F 16/17
G06F 16/174
G06F 9/448
G06F 21/56
Abstract:
Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.

Real-Time Detection Of Misuse Of System Credentials

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/263338
Inventors:
- Palo Alto CA, US
Di Wu - Newark CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
G06F 21/55
G06F 16/174
G06F 16/17
G06F 9/448
Abstract:
Some examples relate generally to managing and storing data, and more specifically to the real-time detection of ransomware, system (or insider) threats, or the misappropriation of credentials by using file system audit events.

Adaptive Alert Monitoring

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/264369
Inventors:
- Palo Alto CA, US
Karan Jayesh Bavishi - San Francisco CA, US
Daniel Talamas Cano - Palo Alto CA, US
John Louie - Redwood City CA, US
Chetas Joshi - Mountain City CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
H04L 12/24
Abstract:
Various embodiments provide for alert generation based on alert dependency. For some embodiments, the alert dependency checking facilitates alert noise reduction. Various embodiments described herein dynamically find or discover alert dependencies based on one or more alerts currently active, one or more active alerts generated in the past, or some combination of both. Various embodiments described herein provide alert monitoring that adapts based on an alert state of a machine. Various embodiments described herein generate a health score for a machine based on an alert state of the machine. Various embodiments described herein provide a tool for managing definitions of one or more alerts that can be identified as an active alert for a machine.

Alert Dependency Checking

US Patent:
2020025, Aug 6, 2020
Filed:
Jan 31, 2019
Appl. No.:
16/264224
Inventors:
- Palo Alto CA, US
Karan Jayesh Bavishi - San Francisco CA, US
Daniel Talamas Cano - Palo Alto CA, US
John Louie - Redwood City CA, US
Chetas Joshi - Mountain City CA, US
Matthew Edward Noe - San Francisco CA, US
International Classification:
H04L 12/24
Abstract:
Various embodiments provide for alert generation based on alert dependency. For some embodiments, the alert dependency checking facilitates alert noise reduction. Various embodiments described herein dynamically find or discover alert dependencies based on one or more alerts currently active, one or more active alerts generated in the past, or some combination of both. Various embodiments described herein provide alert monitoring that adapts based on an alert state of a machine. Various embodiments described herein generate a health score for a machine based on an alert state of the machine. Various embodiments described herein provide a tool for managing definitions of one or more alerts that can be identified as an active alert for a machine.

Ransomware Infection Detection In Filesystems

US Patent:
2020003, Jan 30, 2020
Filed:
Jul 30, 2018
Appl. No.:
16/049574
Inventors:
- Palo Alto CA, US
Di Wu - East Palo Alto CA, US
Benjamin Reisner - San Francisco CA, US
Matthew E. Noe - San Francisco CA, US
International Classification:
G06F 21/56
G06F 17/30
G06F 11/14
Abstract:
Described herein is a system that detects ransomware infection in filesystems. The system detects ransomware infection by using backup data of machines. The system detects ransomware infection in two stages. In the first stage, the system analyzes a filesystem's behavior. The filesystem's behavior can be obtained by loading the backup data and crawling the filesystem to create a filesystem metadata including information about file operations during a time interval. The filesystem determines a pattern of the file operations and compares the pattern to a normal patter to analyze the filesystem's behavior. If the filesystem's behavior is abnormal, the system proceeds to the second stage to analyze the content of the files to look for signs of encryption in the filesystem. The system combines the analysis of both stages to determine whether the filesystem is infected by ransomware.

Data Discovery In Relational Databases

US Patent:
2019039, Dec 26, 2019
Filed:
Jun 22, 2018
Appl. No.:
16/015963
Inventors:
- Palo Alto CA, US
Matthew E. Noe - San Francisco CA, US
Biswaroop Palit - Mountain View CA, US
International Classification:
G06F 17/30
Abstract:
Described herein is a system that processes personal data in databases. The system samples data stored in columns of data tables and analyzes the sampled data to determine whether the sampled data includes personal data. Based on the analysis, the system marks which data tables and which columns of the data tables store personal data. The system receives a request to process personal data for a subject. From data tables that are marked as storing personal data, the system identifies records storing personal data for the subject. The system additionally identifies other data tables marked as storing personal data that reference or are referenced by the data tables including the records referencing the subject. The system processes the data stored in the columns that are marked as storing personal data.

Possible Relatives

Deborah I Noe  Greta Noe  Hugo Noe  Jessica Noe  Joy K Noe  Kelley E Noe  Kenneth J Noe  Matthew F Johnson  Matthew A Stanard  Matthew A Stancil 

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