TY - GEN
T1 - An SVM based secural image steganography algorithm for IoT
AU - Sun, Weifeng
AU - Jia, Minghan
AU - Yu, Shumiao
AU - Dong, Boxiang
AU - Li, Xinyi
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - With the fast development of IoT network, there are more and more images generated by sensors and other devices, which increases the transmission expenses. By adopting image steganography, the images can deliver more information than they could. Therefore, the transmission expenses could be significantly reduced. However, the safety and quality of steganographic algorithms is not promising nowadays. To improve this situation, we propose an SVM-based steganography algorithm. The algorithm takes advantage of four features, including the variance of the image, the overall difference, the shape context matching and the smoothness. The analysis and experimental results show that the information hiding algorithm can effectively optimize the information steganography and anti-steganography analysis, which could be used in IoT.
AB - With the fast development of IoT network, there are more and more images generated by sensors and other devices, which increases the transmission expenses. By adopting image steganography, the images can deliver more information than they could. Therefore, the transmission expenses could be significantly reduced. However, the safety and quality of steganographic algorithms is not promising nowadays. To improve this situation, we propose an SVM-based steganography algorithm. The algorithm takes advantage of four features, including the variance of the image, the overall difference, the shape context matching and the smoothness. The analysis and experimental results show that the information hiding algorithm can effectively optimize the information steganography and anti-steganography analysis, which could be used in IoT.
KW - Anti-steganography analysis
KW - Image steganography
KW - IoT
KW - LSB embedding
UR - http://www.scopus.com/inward/record.url?scp=85078517058&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-37352-8_32
DO - 10.1007/978-3-030-37352-8_32
M3 - Conference contribution
AN - SCOPUS:85078517058
SN - 9783030373511
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 357
EP - 371
BT - Cyberspace Safety and Security - 11th International Symposium, CSS 2019, Proceedings
A2 - Vaidya, Jaideep
A2 - Zhang, Xiao
A2 - Li, Jin
PB - Springer
T2 - 11th International Symposium on Cyberspace Safety and Security, CSS 2019
Y2 - 1 December 2019 through 3 December 2019
ER -