Sains Malaysiana 48(12)(2019): 2797-2806

http://dx.doi.org/10.17576/jsm-2019-4812-21

Design of Information Hiding Algorithm for Multi-Link Network Transmission Channel

(Reka Bentuk Maklumat Algoritma Sembunyi untuk Saluran Penghantaran Rangkaian Berbilang Pautan)

SONGYIN FU & RANGDING WANG*

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China

Received: 21 February 2019/Accepted: 23 December 2019

ABSTRACT

Traditional channel information hiding algorithms based on m-sequence for multi-link network transmission, which apply m-sequence to channel coding information hiding system, do not analyze the upper limit of hiding capacity of multi-link network transmission channel system, and do not consider the hidden danger of overlapping secret information when embedding secret information is too large. It has the defects of low efficiency, poor accuracy and large storage cost. This paper designs an information hiding algorithm for multi-link network transmission channel based on secondary positioning, it uses RS code M public key cryptosystem to pre-process secret information and improve the security of information; calculates the upper limit of hiding capacity of multi-link network transmission channel system through information hiding capacity analysis model, and determines whether the hiding capacity exceeds the secret information. Secondary location and cyclic shift mechanism are introduced to improve the randomness of location selection and avoid overlapping of secret information. The experimental results show that the proposed algorithm has a great advantage in memory cost. When the channel SNR is 0 dB and 8 dB, the normalization coefficients are 0.87 and 1.04, respectively. This shows that the algorithm has a high accuracy in extracting secret information. The average time spent on hiding information is 2.04 s, indicating that the algorithm has high information hiding rate and storage efficiency.

Keywords: Coding channel; information hiding; multi-link; network transmission channel; preprocessing; secondary embedding

ABSTRAK

Saluran tradisi algoritma penyembunyian maklumat berdasarkan jujukan-m untuk penyampaian rangkaian berbilang pautan yang menggunakan jujukan-m untuk menyalurkan maklumat pengekodan sistem sembunyi tidak menganalisis had atas kapasiti sembunyi sistem saluran penghantaran rangkaian berbilang pautan dan tidak mempertimbangkan bahaya tersembunyi akibat pertindihan maklumat rahsia apabila pembenaman maklumat rahsia adalah terlalu besar. Ia mempunyai kecacatan kecekapan yang rendah, ketepatan yang lemah dan kos storan yang tinggi. Kertas ini mereka bentuk algoritma penyembunyikan maklumat untuk penghantaran saluran rangkaian berbilang pautan berdasarkan kedudukan sekunder, ia menggunakan sistem kripto kunci awam RS kod M untuk prapemprosesan maklumat rahsia dan meningkatkan keselamatan maklumat; menghitung had atas kapasiti sembunyi sistem penghantaran saluran rangkaian berbilang pautan melalui model analisis kapasiti penyembunyian maklumat dan menentukan sama ada kapasiti persembunyian melebihi maklumat rahsia. Lokasi sekunder dan mekanisme peralihan kitaran diperkenalkan untuk menambahbaik pemilihan lokasi secara rawak dan mengelakkan pertindihan maklumat rahsia. Hasil uji kaji menunjukkan bahawa algoritma yang dicadangkan mempunyai kelebihan yang besar dalam kos ingatan. Apabila saluran SNR adalah 0 dB dan 8 dB, pekali penormalan masing-masing adalah 0.87 dan 1.04. Ini menunjukkan bahawa algoritma mempunyai ketepatan yang tinggi dalam mengekstrak maklumat rahsia. Masa purata yang digunakan untuk menyembunyikan maklumat adalah 2.04 s, menunjukkan bahawa algoritma ini mempunyai kadar penyembunyian maklumat yang tinggi dan kecekapan penyimpanan.

Kata kunci: Berbilang pautan; pembenaman sekunder; penyembunyian maklumat; prapemprosesan; saluran pengekodan; saluran penghantaran rangkaian

REFERENCES

Calabuig, D., Gohary, R.H. & Yanikomeroglu, H. 2015. Optimum transmission through the multiple-antenna gaussian multiple access channel. IEEE Transactions on Information Theory 62(1): 230-243.

Che, Y., Xu, J., Duan, L. & Zhang, R. 2015. Multiantenna wireless powered communication with cochannel energy and information transfer. IEEE Communications Letters 19(12): 2266-2269.

Galdino, L., Tan, M., Alvarado, A., Lavery, D., Rosa, P., Maher, R., Ania-Castañón, J.D., Harper, P., Makovejs, S., Thomsen, B.C. & P. Bayve. 2016. Amplification schemes and multi-channel dbp for unrepeatered transmission. Journal of Lightwave Technology 34(9): 2221-2227.

Gao, W. & Wang, W.F. 2017. The fifth geometric-arithmetic index of bridge graph and carbon nanocones. Journal of Difference Equations and Applications 23(1-2SI): 100-109.

Gao, Y., Wen, A., Zhang, W., Wang, Y. & Zhang, H. 2017. Photonic microwave and mm-wave mixer for multi-channel fiber transmission. Journal of Lightwave Technology 35(9): 1566-1574.

Gong, S., Xing, C., Yang, N., Wu, Y.C. & Fei, Z. 2017. Energy efficient transmission in multi-user MIMO relay channels with perfect and imperfect channel state information. IEEE Transactions on Wireless Communications 16(6): 3885-3898.

Gulbahar, B. 2017. A communication theoretical analysis of multiple-access channel capacity in magneto-inductive wireless networks. IEEE Transactions on Communications 65(6): 2594-2607.

Huang, M.C. 2016. Novel time-frequency cross methods to resolve EMI issues. Journal of Power Supply 14(5): 167-171.

Kazemi, S. & Tajer, A. 2018. Multiaccess communication via a broadcast approach adapted to the multiuser channel. IEEE Transactions on Communications 66(8): 3341-3353.

Li, D.S. & Chen, Z.G. 2015. A new method to prevent trojan-in node based on inner secure tunnel. Journal of China Academy of Electronics and Information Technology 10(4): 379-382.

Monte, L. 2018. Nonlinear Leslie models for the assessment of the effects of stressors on the development of wild populations: Reviewing of the basic properties. Journal of Interdisciplinary Mathematics 21(1): 83-109.

Palanimuthu, S.J. & Muthial, C. 2017. An enhanced multi-channel bacterial foraging optimization algorithm for MIMO communication system. International Journal of Electronics 104(4): 608-623.

Peng, W., Ge, S., Ebadi, A.G., Hisoriev, H. & Esfahani, M.J. 2017. Syngas production by catalytic co-gasification of coal-biomass blends in a circulating fluidized bed gasifier. Journal of Cleaner Production 168: 1513-1517.

Regees, M. 2017. Super edge trimagic total labeling of some star type graphs. Journal of Discrete Mathematical Sciences and Cryptography 20(3): 747-754.

Ünsal, A. & Knopp, R. 2015. Distributed sensing and transmission of sporadic random samples over a multiple-access channel. IEEE Transactions on Communications 63(10): 3813-3828.

Wang, D., Li, Z., Zhang, N., Wu, H. & Shen, X. 2018. Channel states classification in cognitive small cell networks with multiple transmission powers. IEEE Transactions on Vehicular Technology 67(7): 6023-6036.

Wang, D., Toni, L., Cosman, P.C. & Milstein, L.B. 2015. Resource allocation and performance analysis for multiuser video transmission over doubly selective channels. IEEE Transactions on Wireless Communications 14(4): 1954-1966.

Wu, H., Tao, X., Han, Z., Li, N. & Xu, J. 2017. Secure transmission in MISOME wiretap channel with multiple assisting jammers: Maximum secrecy rate and optimal power allocation. IEEE Transactions on Communication 65(2): 775-789.

Wu, S., Wei, S., Wang, Y., Vaidyanathan, R. & Yuan, J. 2015. Partition information and its transmission over boolean multi-access channels. IEEE Transactions on Information Theory 61(2): 1010-1027.

Xie, K., Wang, X., Liu, X., Wen, J. & Cao, J. 2016. Interference-aware cooperative communication in multi-radio multi-channel wireless networks. IEEE Transactions on Computers 65(5):1528-1542.

Xu, Y., Wu, Q., Wang, J., Shen, L.P. & Anpalgan, A. 2015. Robust multiuser sequential channel sensing and access in dynamic cognitive radio networks: Potential games and stochastic learning. IEEE Transactions on Vehicular Technology 64(8): 3594-3607.

Yue, X., Zhou, C., Gan, W.D. & Minglong, Z. 2015. Research and simulation of data hiding algorithm in military image encryption communication. Computer Simulation 32(3): 238-241.

Zhang, L., Zhu, Y. & Zheng, W.X. 2016. State estimation of discrete-time switched neural networks with multiple communication channels. IEEE Transactions on Cybernetics 99: 1-13.

Zhao, L.J. & Chen, Y.J. 2015. Research on digital image scrambling technology in information hiding. Automation and Instrumentation 6: 135-137.

*Corresponding author; email: wangrangding@nbu.edu.cn