ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

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.

Identifier

85217003490 (Scopus)

ISBN

[9798350380408]

Publication Title

Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors

External Full Text Location

https://doi.org/10.1109/ICCD63220.2024.00012

ISSN

10636404

First Page

1

Last Page

8

Grant

2216772

Fund Ref

National Science Foundation

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