TY - GEN
T1 - Continuous Authentication Using Human-Induced Electric Potential
AU - Murali, Srinivasan
AU - Jin, Wenqiang
AU - Sivaraman, Vighnesh
AU - Zhu, Huadi
AU - Ji, Tianxi
AU - Li, Pan
AU - Li, Ming
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/12/4
Y1 - 2023/12/4
N2 - Most terminal devices authenticate users only once at the time of initial login, leaving the terminal unprotected during an active session when the original user leaves it unattended. To address this issue, continuous authentication has been proposed by automatically locking the terminal after a period of inactivity. However, it does not fully eliminate the risk of unauthorized access before the session expires. Recent research has also investigated the feasibility of using physiological and behavioral patterns as biometrics. This study presents a novel two-factor continuous authentication that explores a new form of signal called human-induced electric potential captured by wearables in contact with the user's body. By analyzing this signal, we can determine the time of user-terminal interactions and compare it with information recorded by the terminal's OS. If the original user remains on the same terminal, the two-source readings would match. Additionally, the proposed scheme includes an extra layer of protection by extracting terminal's physical fingerprints from the human-induced electric potential to defend against advanced mimicry attacks. To test the effectiveness of our design, a low-cost wearable prototype is developed. Through extensive experiments, it is found that the proposed scheme has a low error rate of 2.3%, with minimal computational and energy requirements.
AB - Most terminal devices authenticate users only once at the time of initial login, leaving the terminal unprotected during an active session when the original user leaves it unattended. To address this issue, continuous authentication has been proposed by automatically locking the terminal after a period of inactivity. However, it does not fully eliminate the risk of unauthorized access before the session expires. Recent research has also investigated the feasibility of using physiological and behavioral patterns as biometrics. This study presents a novel two-factor continuous authentication that explores a new form of signal called human-induced electric potential captured by wearables in contact with the user's body. By analyzing this signal, we can determine the time of user-terminal interactions and compare it with information recorded by the terminal's OS. If the original user remains on the same terminal, the two-source readings would match. Additionally, the proposed scheme includes an extra layer of protection by extracting terminal's physical fingerprints from the human-induced electric potential to defend against advanced mimicry attacks. To test the effectiveness of our design, a low-cost wearable prototype is developed. Through extensive experiments, it is found that the proposed scheme has a low error rate of 2.3%, with minimal computational and energy requirements.
KW - Continuous authentication
KW - human-induced electric potential
KW - wearables
UR - https://www.scopus.com/pages/publications/85180154124
U2 - 10.1145/3627106.3627124
DO - 10.1145/3627106.3627124
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 409
EP - 423
BT - Proceedings - 39th Annual Computer Security Applications Conference, ACSAC 2023
PB - Association for Computing Machinery
T2 - 39th Annual Computer Security Applications Conference, ACSAC 2023
Y2 - 4 December 2023 through 8 December 2023
ER -