ECE Master Of Science Thesis Defense By: Rebecca E. Field
When: Monday,
August 12, 2019
11:30 AM
-
1:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: An Improved Method for Secure and Reliable Cryptosysem Message Transmission
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
With the digital world on the rise, the need for secure and reliable systems is vital. Security is achieved through encryption and provides protection to the access of private information. System reliability is usually gained through adding redundancy to check and correct errors or faults. Reliability depends on an interval of time, rather than a moment of time; therefore, a system that can tolerate faults may not necessarily have high reliability. The concept of improving the combination of both security and reliability is quite appealing, however in many algorithms there is usually a tradeoff. High security relies on making the data as hard to recover and steal as possible, whereas reliability needs the ability to ensure that the data is in fact correct. As technology advances, security is a great concern with many people and companies relying on it to protect sensitive and personal information. No such system has been discovered that can provide strong reliability and strong security. A literature search was conducted on past state of the art cryptosystems, both public and private key. A survey was performed to outline the highlights, weaknesses and that information was used to propose an improvement method to sending secure and reliable data. This method is based on the (7,4) Hamming Code and unlike any previous solutions it breaks the data into many smaller chunks prior to the encoding process. Not only does this increase security but the nature of the code itself also improves system reliability, and therefore overall system availability.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Hong Liu
Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMASS Dartmouth and Dr. Saeja Kim, Department of Mathematics, UMASS Dartmouth
*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
With the digital world on the rise, the need for secure and reliable systems is vital. Security is achieved through encryption and provides protection to the access of private information. System reliability is usually gained through adding redundancy to check and correct errors or faults. Reliability depends on an interval of time, rather than a moment of time; therefore, a system that can tolerate faults may not necessarily have high reliability. The concept of improving the combination of both security and reliability is quite appealing, however in many algorithms there is usually a tradeoff. High security relies on making the data as hard to recover and steal as possible, whereas reliability needs the ability to ensure that the data is in fact correct. As technology advances, security is a great concern with many people and companies relying on it to protect sensitive and personal information. No such system has been discovered that can provide strong reliability and strong security. A literature search was conducted on past state of the art cryptosystems, both public and private key. A survey was performed to outline the highlights, weaknesses and that information was used to propose an improvement method to sending secure and reliable data. This method is based on the (7,4) Hamming Code and unlike any previous solutions it breaks the data into many smaller chunks prior to the encoding process. Not only does this increase security but the nature of the code itself also improves system reliability, and therefore overall system availability.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Hong Liu
Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMASS Dartmouth and Dr. Saeja Kim, Department of Mathematics, UMASS Dartmouth
*For further information, please contact Dr. Hong Liu at 508.999.8514, or via email at hliu@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
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