Dr. Wyatt graduated from the University of Florida College of Medicine at Gainesville in 1988. He works in Jacksonville, FL and specializes in Endocrinology, Diabetes & Metabolism and Internal Medicine. Dr. Wyatt is affiliated with Baptist Medical Center and St Vincents Medical Center.
Us Patents
System And Method For Server-Coupled Malware Prevention
Kevin Patrick Mahaffey - San Francisco CA, US James David Burgess - San Francisco CA, US David Golombek - San Francisco CA, US Timothy Micheal Wyatt - Oakland CA, US Anthony McKay Lineberry - Oakland CA, US Kyle Barton - Pacifica CA, US Daniel Lee Evans - San Francisco CA, US David Luke Richardson - San Francisco CA, US Ariel Salomon - San Francisco CA, US
Assignee:
Lookout, Inc. - San Francisco CA
International Classification:
H04L 29/06 G06F 11/00 G06F 12/14 G06F 12/16
US Classification:
726 23, 726 3, 726 24, 726 25
Abstract:
This disclosure is directed to a system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices (e. g. , smartphones, netbooks, and tablets). A mobile communication device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces an assessment for the application, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmits notifications to devices that have installed applications that are discovered to be undesirable. The server receives data about applications from many devices, using the combined data to minimize false positives and provide comprehensive protection against known and unknown threats.
System And Method For Security Data Collection And Analysis
Kevin Patrick Mahaffey - San Francisco CA, US David Golombek - San Francisco CA, US Daniel Lee Evans - San Francisco CA, US David Luke Richardson - San Francisco CA, US Timothy Micheal Wyatt - Oakland CA, US James David Burgess - San Francisco CA, US Anthony McKay Lineberry - Oakland CA, US Kyle Barton - Pacifica CA, US
Assignee:
Lookout, Inc. - San Francisco CA
International Classification:
H04L 29/06 G06F 7/04 G06F 15/16 G06F 17/30
US Classification:
726 25, 726 3, 726 24, 726 26, 709203
Abstract:
Disclosed herein is a system and method for efficiently gathering information about applications for mobile communication devices (e. g. , smartphones, netbooks, and tablets). This disclosure is also directed to a server producing assessments for applications by analyzing data from multiple sources. To gather information, a device sends information about an application to a server, which stores some or all of the information and may request additional information, if necessary. The server collects information from many devices, including devices that have varied configurations and different operating systems, by only collecting the appropriate information from each device. The server gathers the appropriate data to perform in-depth, granular mobile application analysis while minimizing overhead on devices, wireless networks, and the server. The server may collect portions of data from multiple devices, combining them on the server to produce an assessment for an application.
System And Method For Server-Coupled Application Re-Analysis
Kevin Patrick Mahaffey - San Francisco CA, US James David Burgess - San Francisco CA, US David Golombek - San Francisco CA, US Timothy Micheal Wyatt - Oakland CA, US Anthony McKay Lineberry - Oakland CA, US Kyle Barton - Pacifica CA, US Daniel Lee Evans - San Francisco CA, US David Luke Richardson - San Francisco CA, US Ariel Salomon - San Francisco CA, US
Assignee:
Lookout, Inc. - San Francisco CA
International Classification:
H04L 29/06 G06F 11/00 G06F 12/14 G06F 12/16
US Classification:
726 23, 726 3, 726 24, 726 25
Abstract:
To prevent malware, spyware and other undesirable applications from affecting mobile communication devices (e. g. , smartphones, netbooks, and tablets), a device uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces a categorization assessment and can provide a categorization re-assessment, and transmits the assessment to the device. By performing analysis on a server, a device can reduce its battery and performance cost of protecting against undesirable applications. The server transmits notifications to devices that have installed applications that are discovered to be undesirable. The server receives data about applications from many devices, using the combined data to minimize false positives and provide comprehensive protection against known and unknown threats. The server can accumulate this data and perform a categorization re-assessment of a data object previously assessed.
Evaluation Of Network Security Based On Security Syndromes
Kevin Patrick Mahaffey - San Francisco CA, US John G. Hering - San Francisco CA, US James David Burgess - San Francisco CA, US Jonathan Pantera Grubb - Los Angeles CA, US David Golombek - San Francisco CA, US David Luke Richardson - San Francisco CA, US Anthony McKay Lineberry - Oakland CA, US Timothy Micheal Wyatt - Oakland CA, US
Assignee:
LOOKOUT, INC., A CALIFORNIA CORPORATION - San Francisco CA
International Classification:
G06F 17/00 G06F 11/00
US Classification:
726 1, 726 22
Abstract:
This disclosure is directed to a system and method for providing advisement about applications on mobile communication devices such as smartphones, netbooks, and tablets. A server gathers data about mobile applications, analyzes the applications, and produces an assessment that may advise users on a variety of factors, including security, privacy, battery impact, performance impact, and network usage. The disclosure helps users understand the impact of applications to improve the experience in using their mobile device. The disclosure also enables a server to feed information about applications to other protection systems such as application policy systems and network infrastructure. The disclosure also enables advisement about applications to be presented in a variety of forms, such as through a mobile application, as part of a web application, or integrated into other services via an API.
System And Method For Adverse Mobile Application Identification
Kevin Patrick MAHAFFEY - San Francisco CA, US David GOLOMBEK - San Francisco CA, US David Luke RICHARDSON - San Francisco CA, US Timothy Micheal WYATT - Oakland CA, US James David BURGESS - San Francisco CA, US John G. Hering - San Francisco CA, US
Assignee:
LOOKOUT, INC - San Francisco CA
International Classification:
G06F 21/00
US Classification:
726 22
Abstract:
A system and method identifies mobile applications that can have an adverse effect on a mobile device or mobile network. In an implementation, a server monitors behavioral data relating to a mobile application and applies a model to determine if the application has an adverse effect or has the potential to cause an adverse effect on a mobile device or a network the mobile device may connect to. A mobile device may monitor behavioral data, apply a model to the data, and transmit a disposition to the server. The server may aggregate behavioral data or disposition information from multiple devices. The server may transmit or make available the disposition information to a subscriber through a web interface, API, email, or other mechanism. After identifying that an application may have an adverse effect, the server may enact corrective actions, such as generating device or network configuration data.
Bruce Wootton - Alameda CA, US Kevin Patrick Mahaffey - San Francisco CA, US Timothy Micheal Wyatt - San Francisco CA, US
Assignee:
Lookout, Inc. - San Francisco CA
International Classification:
G06F 9/46 G06F 15/173
US Classification:
709224, 719328
Abstract:
Application programs for mobile communication devices are stored in a data store. The applications may be collected from any number of different sources such as through an application programming interface (API), from web crawling, from users, or combinations of these. The applications are analyzed and the analysis results reported. The applications may be “continuously” analyzed so that any changes in assessments can be reported. If an application for which an analysis is sought is not in the data store, information about a different, but related application may be provided.
System And Method For Server-Coupled Application Re-Analysis To Obtain Trust, Distribution And Ratings Assessment
Kevin Patrick MAHAFFEY - San Francisco CA, US James David BURGESS - San Francisco CA, US David GOLOMBEK - San Francisco CA, US Timothy Michael WYATT - Oakland CA, US Anthony McKay LINEBERRY - Oakland CA, US Kyle BARTON - Pacifica CA, US Daniel Lee EVANS - San Francisco CA, US David Luke RICHARDSON - San Francisco CA, US Ariel SALOMON - San Francisco CA, US
Assignee:
Lookout, Inc., a California Corporation - San Francisco CA
International Classification:
G06F 21/00 G06F 15/16
US Classification:
726 23
Abstract:
A system and method for preventing malware, spyware and other undesirable applications from affecting mobile communication devices uses a server to assist in identifying and removing undesirable applications. When scanning an application, a device transmits information about the application to a server for analysis. The server receives the information, produces a characterization assessment and can also provide a characterization re-assessment for the application, or data object, and transmits the assessment to the device. By performing analysis on a server, the invention allows a device to reduce the battery and performance cost of protecting against undesirable applications. The servers transmit notifications to devices that have installed applications that are discovered to be undesirable. The server can accumulate this data and then perform a characterization re-assessment of a data object it has previously assessed to provide an assessment based upon one of trust, distribution and ratings information.
Isbn (Books And Publications)
Implementing School-Based Management: Insights into Decentralization from Science and Mathematics Departments