Search

Lawrence C Teo

from Huntersville, NC
Age ~44
Get Report
Also known as:
Larry Teo
Connected to:
Abigail H Teo, 31Antonina Teo, 43Arnold P Teo, 64Catherine S Teo, 56Chiu Y Teo, 49Christina A Teo, 45Daphne K Teo, 51Dora B Teo, 80Doreen H Teo, 71Doris M Teo, 46

Lawrence Teo Phones & Addresses

  • Huntersville, NC
  • 3125 Ryan Jay Dr, Charlotte, NC 28269 (704) 597-9920 (704) 921-6453
  • 7825 Kotz Ct APT 1137, Charlotte, NC 28269 (704) 921-6453

Work

Position: Professional/Technical

Education

Degree: High school graduate or higher

Resumes

Resumes

Lawrence Teo Photo 1

Vice President Development And Co-Founder

View page
Location:
Charlotte, NC
Industry:
Computer & Network Security
Work:
Openbsd
Developer
Unc Charlotte 2001 - 2006
Ph.d Candidate
Calyptix Security Corporation 2001 - 2006
Vice President Development and Co-Founder
Lycos Europe 2001 - 2001
Software Engineering Intern
Distributed Systems Technology Centre 2000 - 2001
Research Assistant
Education:
University of North Carolina at Charlotte 2001 - 2006
Monash University 1997 - 2001
Skills:
Firewalls
Security
Network Security
Tcp/Ip
Vpn
Active Directory
Virtualization
Network Administration
Intrusion Detection
Openbsd
Spam Filtering
Sbs
Lawrence Teo Photo 2

Lawrence Teo

View page
Location:
Charlotte, North Carolina Area
Industry:
Computer & Network Security

Publications

Us Patents

Systems And Methods For Dynamic And Risk-Aware Network Security

View page
US Patent:
20060206615, Sep 14, 2006
Filed:
May 30, 2003
Appl. No.:
10/553306
Inventors:
Yuliang Zheng - Charlotte NC, US
Lawrence Teo - Charlotte NC, US
International Classification:
G06F 15/16
US Classification:
709229000
Abstract:
Systems and methods for dynamic and risk-aware network security are described. In one embodiment, a system dynamically assesses whether a connection over a communications medium () is anomalous (suspicious, malicious, deviating from normal behavior, fits a certain profile or pattern, or has the potential to be any one of these) and generates an appropriate response depending on whether the connection is deemed to be normal or anomalous for a specified period of time. The types of responses include, but are not limited to, blocking the source of the connection from connecting to its intended destination, altering the destination of the connection, auditing the connection, or any combination of these.

Systems And Methods For Dynamically Learning Network Environments To Achieve Adaptive Security

View page
US Patent:
20070094491, Apr 26, 2007
Filed:
Aug 3, 2006
Appl. No.:
11/498587
Inventors:
Lawrence Teo - Charlotte NC, US
Yuliang Zheng - Charlotte NC, US
International Classification:
H04L 9/00
US Classification:
713153000
Abstract:
Systems and methods for dynamically learning network environments to achieve adaptive security are described. One described method for setting an adaptive threshold for a node includes: monitoring a data stream associated with the node to identify a characteristic of the node; monitoring an environmental factor capable of affecting the node; and determining the adaptive threshold based on at least one of the characteristic or the environmental factor. Another described method for dynamically assessing a risk associated with network traffic includes: identifying a communication directed at the node; determining a risk level associated with the communication; and comparing the risk level to the adaptive threshold.

Systems And Methods For Enhanced Network Security

View page
US Patent:
20060069912, Mar 30, 2006
Filed:
May 30, 2003
Appl. No.:
10/543600
Inventors:
Yuliang Zheng - Charlotte NC, US
Lawrence Teo - Charlotte NC, US
International Classification:
H04L 9/00
US Classification:
713151000
Abstract:
Systems and methods for an information system security infrastructure are described. One embodiment of the present invention comprises global Internet-scale defense infrastructure, referred to as the Intrusion Detection Force (IDF). The IDF comprises a virtual infrastructure implemented on top of an existing network, such as the Internet. The IDF enables secure information sharing and intelligent data analysis and response. The node (e.g. of FIG. ) is the most primitive entity in the IDF architecture, and may be a switch, router, server, or workstation. The IDF may be implemented in small networks of computers or may be utilized by millions of hosts throughout the Internet, spanning different organizations, countries, and continents.
Control profile
Lawrence C Teo from Huntersville, NC, age ~44 Get Report