TY - GEN
T1 - ChaoSen
T2 - 42nd IEEE International Conference on Computer Design, ICCD 2024
AU - Taheri, Nedasadat
AU - Tabrizchi, Sepehr
AU - Angizi, Shaahin
AU - Roohi, Arman
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Wireless Sensor Networks (WSN) are integral to diverse applications, ranging from environmental monitoring to urban smart infrastructure. In the realm of WSNs, security remains a critical challenge owing to the complex nature of the sensor environment. As a result, WSN security has become a research focus in recent years. In this paper, we introduce ChaoSen, a novel image sensor system incorporating analog chaotic circuits within the sensor, thereby enhancing the overall system security. The system utilizes a scrambler module, which intricately intertwines with the chaotic encryption process, to reduce the predictability of pixel values and enhance the security of the system. Comparative evaluations demonstrate that the system achieves an NPCR value of 99.5562% and a UACI of 35.81900%, indicating high sensitivity to input changes and significant alteration in pixel intensity. Our approach also demonstrates its resilience against common cyber attacks, balancing enhanced security with resource efficiency.
AB - Wireless Sensor Networks (WSN) are integral to diverse applications, ranging from environmental monitoring to urban smart infrastructure. In the realm of WSNs, security remains a critical challenge owing to the complex nature of the sensor environment. As a result, WSN security has become a research focus in recent years. In this paper, we introduce ChaoSen, a novel image sensor system incorporating analog chaotic circuits within the sensor, thereby enhancing the overall system security. The system utilizes a scrambler module, which intricately intertwines with the chaotic encryption process, to reduce the predictability of pixel values and enhance the security of the system. Comparative evaluations demonstrate that the system achieves an NPCR value of 99.5562% and a UACI of 35.81900%, indicating high sensitivity to input changes and significant alteration in pixel intensity. Our approach also demonstrates its resilience against common cyber attacks, balancing enhanced security with resource efficiency.
KW - Chaotic circuit
KW - processing-in-sensor
KW - sensor attacks
KW - vision sensor
UR - http://www.scopus.com/inward/record.url?scp=85217003490&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85217003490&partnerID=8YFLogxK
U2 - 10.1109/ICCD63220.2024.00012
DO - 10.1109/ICCD63220.2024.00012
M3 - Conference contribution
AN - SCOPUS:85217003490
T3 - Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
SP - 1
EP - 8
BT - Proceedings - 2024 IEEE 42nd International Conference on Computer Design, ICCD 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 November 2024 through 20 November 2024
ER -