TY - GEN
T1 - Enhanced Spatial Domain Image Steganography for Improved IoT Security and Privacy Applications
AU - Septinaputri, Gracetriana Survinta
AU - D'Layla, Adifa Widyadhani Chanda
AU - De La Croix, Ntivuguruzwa Jean
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In today's interconnected world, ensuring robust security and privacy for IoT-enabled systems is essential due to the vulnerabilities introduced by the proliferation of IoT devices. Practical strategies, including data hiding for secure transmission, are crucial for protecting sensitive information and critical infrastructure. Addressing challenges such as device authentication and data access control is vital. As digital images become the most commonly used media in IoT applications, many practitioners prefer using them to secure confidential data transmission through steganography. To address data privacy issues in IoT applications, this paper introduces a novel steganography algorithm designed to minimize image distortion while optimizing the use of embeddable pixels in the cover image. The proposed method converts secret data into a simplified format and sorts the binary representations of secret bits in ascending order, reducing the size of the secret data and significantly decreasing the payload. Experimental results demonstrate that this method outperforms existing techniques, achieving a Peak Signal-to-Noise Ratio (PSNR) of 67.42 dB and an average Structural Similarity Index Measure (SSIM) of 0.99, ensuring a high-quality stego image. This advancement is believed to significantly enhance the security and privacy of IoT data transmissions.
AB - In today's interconnected world, ensuring robust security and privacy for IoT-enabled systems is essential due to the vulnerabilities introduced by the proliferation of IoT devices. Practical strategies, including data hiding for secure transmission, are crucial for protecting sensitive information and critical infrastructure. Addressing challenges such as device authentication and data access control is vital. As digital images become the most commonly used media in IoT applications, many practitioners prefer using them to secure confidential data transmission through steganography. To address data privacy issues in IoT applications, this paper introduces a novel steganography algorithm designed to minimize image distortion while optimizing the use of embeddable pixels in the cover image. The proposed method converts secret data into a simplified format and sorts the binary representations of secret bits in ascending order, reducing the size of the secret data and significantly decreasing the payload. Experimental results demonstrate that this method outperforms existing techniques, achieving a Peak Signal-to-Noise Ratio (PSNR) of 67.42 dB and an average Structural Similarity Index Measure (SSIM) of 0.99, ensuring a high-quality stego image. This advancement is believed to significantly enhance the security and privacy of IoT data transmissions.
KW - Data hiding
KW - Securing IoT data transmission
KW - data privacy
KW - spatial domain images
KW - steganography
UR - http://www.scopus.com/inward/record.url?scp=85210256990&partnerID=8YFLogxK
U2 - 10.1109/MASS62177.2024.00101
DO - 10.1109/MASS62177.2024.00101
M3 - Conference contribution
AN - SCOPUS:85210256990
T3 - Proceedings - 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2024
SP - 635
EP - 640
BT - Proceedings - 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2024
Y2 - 23 September 2024 through 25 September 2024
ER -