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Daniel Apon Phones & Addresses

  • Gaithersburg, MD
  • Walnut Creek, CA
  • College Park, MD
  • Fayetteville, AR

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Position: Computer scientist

Resumes

Resumes

Daniel Apon Photo 1

Computer Scientist

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Work:

Computer Scientist

Publications

Us Patents

Practical Reusable Fuzzy Extractor Based On The Learning-With-Error Assumption And Random Oracle

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US Patent:
20190020472, Jan 17, 2019
Filed:
May 10, 2018
Appl. No.:
15/976583
Inventors:
- Malibu CA, US
Karim El Defrawy - Santa Monica CA, US
Daniel C. Apon - College Park MD, US
Jonathan Katz - Silver Spring MD, US
International Classification:
H04L 9/08
H04L 9/06
H04L 9/32
Abstract:
Described is a system for biometric authentication. The system converts biometric data into a cryptographic key r′ using a reusable fuzzy extractor process having an underlying hash function modeling a random oracle model. The system allows access to secured services when a comparison of r′ to a previously computed cryptographic key r shows a match.

Non-Malleable Obfuscator For Sparse Functions

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US Patent:
20170316214, Nov 2, 2017
Filed:
Apr 5, 2016
Appl. No.:
15/091541
Inventors:
- Malibu CA, US
Chongwon Cho - Los Angeles CA, US
Daniel C. Apon - College Park MD, US
Jonathan Katz - College Park MD, US
International Classification:
G06F 21/60
Abstract:
Described is a system for obfuscating a computer program. Sensitive data of an unprotected computer program is received as input. A random oracle is used to algebraically hide a set of polynomial-size point functions representing the sensitive data. The system outputs a set of obfuscated instructions internally hiding the sensitive data. The set of obfuscated instructions are used to transform the unprotected computer program into a protected, obfuscated computer program that is accepting of the set of polynomial-size point functions. The obfuscated computer program is written to a non-volatile computer-readable medium.
Daniel C Apon from Gaithersburg, MD, age ~39 Get Report