TY - GEN
T1 - SecFob
T2 - 9th IEEE International Smart Cities Conference, ISC2 2023
AU - Bolt, Braxton
AU - Maleki, Hoda
AU - Agrawal, Gagan
AU - Morris, Jeffrey D.
AU - Farabi, Khan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - All major vendors currently offer Remote Keyless Entry (RKE) systems for passenger vehicles, which have become a standard feature of modern cars. These systems enable wireless communication between drivers and vehicles, facilitating convenient functions such as remote start and passive keyless entry. Unfortunately, the existing security measures implemented in these systems are often inadequate, leaving them vulnerable to intrusions and a wide array of attacks. To address these vulnerabilities, we present SecFob, a solution that combines quantum random number generation (QRNG), machine learning, and encryption techniques. SecFob is designed to defend against common attack techniques by leveraging the perfect entropy offered by QRNG and by incorporating machine learning techniques, specifically utilizing the Siamese Neural Network. These solutions are cost-effective, portable, and with the use of ML technique, are able to detect amplified signals.
AB - All major vendors currently offer Remote Keyless Entry (RKE) systems for passenger vehicles, which have become a standard feature of modern cars. These systems enable wireless communication between drivers and vehicles, facilitating convenient functions such as remote start and passive keyless entry. Unfortunately, the existing security measures implemented in these systems are often inadequate, leaving them vulnerable to intrusions and a wide array of attacks. To address these vulnerabilities, we present SecFob, a solution that combines quantum random number generation (QRNG), machine learning, and encryption techniques. SecFob is designed to defend against common attack techniques by leveraging the perfect entropy offered by QRNG and by incorporating machine learning techniques, specifically utilizing the Siamese Neural Network. These solutions are cost-effective, portable, and with the use of ML technique, are able to detect amplified signals.
KW - Machine Learning
KW - Quantum Random Number Generator
KW - Radio Frequency
KW - Remote Keyless Entry
UR - http://www.scopus.com/inward/record.url?scp=85178376230&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178376230&partnerID=8YFLogxK
U2 - 10.1109/ISC257844.2023.10293400
DO - 10.1109/ISC257844.2023.10293400
M3 - Conference contribution
AN - SCOPUS:85178376230
T3 - Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
BT - Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 September 2023 through 27 September 2023
ER -