Sr. Programmer/Analyst at Dartmouth-Hitchcock Medical Center
Location:
Newbury, New Hampshire
Industry:
Information Technology and Services
Work:
Dartmouth-Hitchcock Medical Center since Jun 1997
Sr. Programmer/Analyst
Blue Cross Blue Shield of New Hampshire Mar 1990 - May 1997
Sr. Programmer/Analyst
Geographic Data Technology Oct 1989 - Mar 1990
Digital Map Technician
Education:
Central Connecticut State University 1985 - 1989
Computer Science, Statistics, Geography
University of Southern Maine 1983 - 1984
Computer Science, Mathematics
Skills:
Statistics GIS software Data Warehousing Programming Graphics Health Insurance Insurance Claims Databases SAS WebFOCUS Oracle Brio Epic Windows IIS Report Writing Encryption Automation SAS/SQL KML Android Mobile Devices Mobile Applications Windows Server Healthcare Information Technology Ubuntu Radio Broadcasting SAS programming
Interests:
New Technology, SAS Programming, Web Applications, Mobile Applications, Online Radio Broadcasting
Dr. Libby graduated from the Baylor College of Medicine in 1974. He works in New York, NY and specializes in Pulmonary Disease. Dr. Libby is affiliated with New York Presbyterian Hospital Weill Cornell Medical Center.
635 Madison Ave, New York, NY 10022 525 E 68Th St, New York, NY 10065
Education:
Baylor University, College of Medicine - Doctor of Medicine New York Presbyterian Hospital/Weill Cornell Medical Center - Fellowship - Family Medicine New York Presbyterian Hospital/Weill Cornell Medical Center - Residency - Family Medicine
Board certifications:
American Board of Internal Medicine Certification in Internal Medicine American Board of Internal Medicine Sub-certificate in Pulmonary Disease (Internal Medicine)
License Records
Daniel A Libby
License #:
E096107 - Active
Category:
Emergency medical services
Issued Date:
Jan 29, 2013
Expiration Date:
Sep 30, 2018
Type:
San Francisco EMS Agency
Name / Title
Company / Classification
Phones & Addresses
Daniel M. Libby Owner, Pulmonary Diseases, Medical Doctor, President, Pulmonary Medicine
DANIEL M. LIBBY, M.D., PLLC Medical Doctor's Office · Pulmonologist
635 Madison Ave SUITE 1101, New York, NY 10022 2126286611
Daniel F. Libby
QUARTERDECK ENTERPRISES MARINE SURVEYING LLC
Daniel Miles Libby
Daniel Libby Pulmonologist · Internist
635 Madison Ave, New York, NY 10022 2126286611
Us Patents
Mitigating Timing Attacks Via Dynamically Triggered Time Dilation
- Redmond WA, US Tobin TITUS - Kirkland WA, US Daniel LIBBY - Kirkland WA, US Brian MANTHOS - Bellevue WA, US Colin PACITTI - Seattle WA, US Pengxiang ZHAO - Bellevue WA, US Matthew MILLER - Seattle WA, US Jordan Thomas RABET - Seattle WA, US John HAZEN - Kirkland WA, US
International Classification:
H04L 9/00
Abstract:
Techniques for mitigating timing attacks via dynamically triggered time dilation are provided. According to one set of embodiments, a computer system can track a count of application programming interface (API) calls or callbacks made by a program within each of a series of time buckets. The computer system can further determine that the count exceeds a threshold count for a predefined consecutive number of time buckets. Upon making this determination, the computer system can trigger time dilation with respect to the program, where the time dilation causes the program to observe a dilated view of time relative to real time.
Mitigating Timing Attacks Via Dynamically Scaled Time Dilation
- Redmond WA, US Tobin TITUS - Kirkland WA, US Daniel LIBBY - Kirkland WA, US Brian MANTHOS - Bellevue WA, US Colin PACITTI - Seattle WA, US Pengxiang ZHAO - Bellevue WA, US Matthew MILLER - Seattle WA, US Jordan Thomas RABET - Seattle WA, US John HAZEN - Kirkland WA, US
International Classification:
H04L 9/00
Abstract:
Techniques for mitigating timing attacks via dynamically scaled time dilation are provided. According to one set of embodiments, a computer system can enable time dilation with respect to a program, where the time dilation causes the program to observe a dilated view of time relative to real time. Then, while the time dilation is enabled, the computer system can track a count of application programming interface (API) calls or callbacks made by a program within each of a series of time buckets and, based on counts tracked for a range of recent time buckets, scale up or scale down a degree of the time dilation.