A Comparison of Cryptographic Key Exchanges using Sage Mathematics Software
Advisor Information
Abhishek Parakh
Location
UNO Criss Library, Room 249
Presentation Type
Oral Presentation
Start Date
4-3-2016 10:15 AM
End Date
4-3-2016 10:30 AM
Abstract
We report on a work in progress that aims to develop a secure and efficient method for key exchange in wireless sensor networks. The keys exchanged will then be used for secure communication between sensors. The sensor nodes must maintain battery life for long periods of time while still providing full functionality. One way to extend battery life is to reduce CPU usage of the sensors. The proposed method to reduce CPU usage is to implement a matrix based key exchange algorithm. Currently many sensors use a public key exchange which requires heavy exponentiation. The matrix based key exchange does not require exponentiation and will therefore extend battery life. The project currently is in the pre-deployment stage which involves establishing a symmetric matrix as a product of two other matrices. Once the matrices are established and assigned, simulations will be run to determine CPU usage and be compared to that of a public key exchange. Simulating the key exchange prior to deployment will help in determining the efficiency of the algorithm and will be compared to public key exchange. Currently the comparison is done between the matrix based key exchange algorithm in Sage and the Elliptic Curve Diffie-Hellman key exchange algorithm, also in Sage. If the matrix based key exchange is more energy efficient than a public key exchange, it can be used within wireless sensor networks. Using a more efficient algorithm will save energy spent on CPU capabilities and still provide the essential encryption.
A Comparison of Cryptographic Key Exchanges using Sage Mathematics Software
UNO Criss Library, Room 249
We report on a work in progress that aims to develop a secure and efficient method for key exchange in wireless sensor networks. The keys exchanged will then be used for secure communication between sensors. The sensor nodes must maintain battery life for long periods of time while still providing full functionality. One way to extend battery life is to reduce CPU usage of the sensors. The proposed method to reduce CPU usage is to implement a matrix based key exchange algorithm. Currently many sensors use a public key exchange which requires heavy exponentiation. The matrix based key exchange does not require exponentiation and will therefore extend battery life. The project currently is in the pre-deployment stage which involves establishing a symmetric matrix as a product of two other matrices. Once the matrices are established and assigned, simulations will be run to determine CPU usage and be compared to that of a public key exchange. Simulating the key exchange prior to deployment will help in determining the efficiency of the algorithm and will be compared to public key exchange. Currently the comparison is done between the matrix based key exchange algorithm in Sage and the Elliptic Curve Diffie-Hellman key exchange algorithm, also in Sage. If the matrix based key exchange is more energy efficient than a public key exchange, it can be used within wireless sensor networks. Using a more efficient algorithm will save energy spent on CPU capabilities and still provide the essential encryption.