[1] Shamalizadeh Baei, M. A.; Norozi, Z.; Sabzinezhad, M.; Karami, M. R. “Designing an Image Steganography Algorithm Based on Entropy and ELSB2”; Adv. Defence Sci. & Technol. 2018, 02, 39-50 (In Persian).
[2] Petitcolas, F.A.; Anderson, R.J.; Kuhn, M.G. “Information Hiding-A Survey”; IEEE Int. Joint Conf. Neural Networks 1999, 87(7), 1062-1078.
[3] Tacticus, A. “How to Survive Under Siege”; Clarendon Press. 1990. https://doi.org/10.1109/5.771065.
[4] Lemma, A.N.; Aprea, J.; Oomen, W.; van de Kerkhof, L. “A Temporal Domain Audio Watermarking Technique”; IEEE Trans. Signal Process. 2003, 51, 1088-1097. https://doi.org/ 10.1109/TSP.2003.809372.
[5] Jafari, S. M; Sadnejad, S. R.; Saryazdi, S.; Jamshidi, V. “A New Audio Steganography Algorithm Based on Sample Clustering“; 7th ISCISC’10, 2010 (In Persian). https://doi.org/10.11591/ijece.v12i1.pp320-330.
[6] ITU, G. “Coding of Speech at 8 kbit/s Using Conjugatestructure Algebraic-Code-Excited Linear-Prediction (CSACELP)“; 1996.
[7] Chen, B.; Wornell, G. W. “Quantization Index Modulation: A Class of Provably Good Methods for Digital Watermarking and Information Embedding”; IEEE Trans. Inform. Theory 2001, 47, 1423-1443. https://doi.org/ 10.1109/18.923725.
[8] Yan, S.; Tang, G.; Chen, Y. “Incorporating Data Hiding into G.729 Speech Codec”; Multimed. Tools Appl. 2016, 75, 11493-11512.
[9] Ren, Y.; Wu, H.; Wang, L. “An AMR Adaptive Steganography Algorithm Based on Minimizing Distortion”; Multimed. Tools Appl. 2018, 77, 12095-12110. https://doi.org/10.1007/s11042-015-2865-1.
[10] Huang, Y.; Liu, C.; Tang, S.; Bai, S. ”Steganography Integration into a Low-Bit Rate Speech Codec”; IEEE Trans. Inf. Foren. Sec. 2012, 7, 1865-1875. https://doi.org/10.1109/ TIFS.2012.2218599.
[11] Huang, Y.; Tao, H.; Xiao, B.; Chang, C. “Steganography in Low Bit-Rate Speech Streams Based on Quantization Index Modulation Controlled by Keys”; Sci. China Tech. Sci. 2017, 60, 1585-1596. https://doi.org/10.1007/s11431-016-0707-3.
[12] Liu, P.; Li, S.; Wang, H. “Steganography Integrated into Linear Predictive Coding for Low Bit-Rate Speech Codec”; Multimed. Tools Appl. 2017, 76, 2837-2859. https://doi.org/ 10.1007/s11042-016-3257-x.
[13] Xiao, B.; Huang, Y.; Tang, S. “An Approach to Information Hiding in Low Bit-Rate Speech Stream”; IEEE Glob. Telecomm. Conf. 2008, 1-5. https://doi.org/ 10.1109/ GLOCOM.2008.ECP.375.
[14] Huang, Y.F.; Tang, S.; Yuan, J. “Steganography in Inactive Frames of VoIP Streams Encoded by Source Codec”; IEEE Trans. Inf. Foren. Sec. 2011, 6, 296-306. https://doi.org/ 10.1109/TIFS.2011.2108649.
[15] Liu, J.; Zhou, K.; Tian, H. “Least-Significant-Digit Steganography in Low Bitrate Speech”; IEEE ICC 2012, 1133-1137.
[16] Lin, R.S. “An Imperceptible Information Hiding in Encoded Bits of Speech Signal”; IEEE IIH-MSP 2015, 37-40.
[17] Xu, S.; Tian, H.; Quan, H.; Lu, J. “A Novel Global-Local Representations Network for Speech Steganalysis”; 5th Int. Conf. on AI and Pattern Recognition 2022, 945-949.
[18] Wang, J.; Yang, J.; Gao, F.; Xu, P. “Steganalysis of Compressed Speech Based on Global and Local Correlation Mining”; IEEE Access. 2022, 10, 78472-78483. https:// doi.org/10.1109/ACCESS.2022.3194051.
[19] Qiu, Y.; Tian, H.; Tang, L.; Mazurczyk, W.; Chang, C.C. “Steganalysis of Adaptive Multi-Rate Speech Streams with Distributed Representations of Codewords”; J. Inf. Sec. App. 2022, 68, 103250. https://doi.org/10.1016/j.jisa. 2022.103250.
[20] Li, S.; Wang, J.; Liu, P. “General Frame-Wise Steganalysis of Compressed Speech Based on Dual-Domain Representation and Intra-Frame Correlation Leaching”; IEEE/ACM Trans. ASLAB. 2022, 30, 2025-2035.
[21] Qiu, Y.; Tian, H.; Li, H.; Chang, C. C.; Vasilakos, A. V. “Separable Convolution Network With Dual-Stream Pyramid Enhanced Strategy for Speech Steganalysis”; IEEE Trans. Inf. Foren. Sec. 2023.
[22] Yang, Z.; Yang, H.; Chang, C.C.; Huang, Y.; Chang, C.C. “Real-time Steganalysis for Streaming Media Based on Multi-channel Convolutional Sliding Windows”; Knowl-Based Syst. 2022.
[23] Ren, Y.; Liu, D.; Liu, C.; Xiong, Q.; Fu, J.; Wang, L. “A Universal Audio Steganalysis Scheme based on Multiscale Spectrograms and DeepResNet”; IEEE Trans. Depend. Sec. 2022, 20, 665-679. https://doi.org/10.1109/TDSC.2022. 3141121.
[24] Wu, Z.; Guo, J. “MFPD-LSTM: A Steganalysis Method Based on Multiple Features of Pitch delay Using RNN-LSTM”; J. Inf. Sec. App. 2023, 74, 103469. https://doi.org/ 10.1016/j.jisa.2023.103469.
[25] Hu, Y.; Huang, Y.; Yang, Z.; Huang, Y. “Detection of Heterogeneous Parallel Steganography For Low Bit-Rate Voip Speech Streams”; Neurocomputing 2021, 419, 70-79. https://doi.org/10.1016/j.neucom.2020.08.002.
[26] Li, S.; Wang, J.; Liu, P.; Wei, M.; Yan, Q. “Detection of Multiple Steganography Methods in Compressed Speech Based on Code Element Embedding, Bi-LSTM and CNN with Attention Mechanisms”; IEEE/ACM TASLAP 2021, 29, 1556-1569. https://doi.org/10.1109/TASLP.2021.3074752.
[27] Yang, H.; Yang, Z.; Bao, Y.; Liu, S.; Huang, Y. “FCEM: A Novel Fast Correlation Extract Model for Real Time Steganalysis of VOIP Stream via Multi-head Attention”; In IEEE ICASSP. 2020, 2822-2826. https://doi.org/10.1109/ ICASSP40776.2020.9054361.
[28] Yang, H.; Yang, Z.; Huang, Y. “Steganalysis of VoIP Streams with CNN-LSTM Network”; ACM Workshop on Information Hiding and Multimedia Security 2019, 204-209. https:// doi.org/ 10.1145/3335203.3335735.
[29] Wang, H.; Yang, Z.; Hu, Y.; Yang, Z.; Huang, Y. “Fast Detection of Heterogeneous Parallel Steganography for Streaming Voice”; ACM Workshop on Information Hiding and Multimedia Security 2021, 137-142. https://doi.org/ 10.1145/3437880.3460404.
[30] Yang, H.; Yang, Z.; Bao, Y.; Liu, S.; Huang, Y. “Fast Steganalysis Method for VoIP Streams”; IEEE Signal Proc. Let. 2019, 27, 286-290. https://doi.org/10.1109/LSP.2019. 2961610.
[31] “Vector Quantization - Mohamed Qasem” http://mqasem.net/vector-quantization/ (accessed Oct. 25, 2021).
[32] ITU, T.S.S.O. “Dual Rate Speech Coder for Multimedia Communication Transmitting at 5.3 and 6.3 kbit/s”; Recommendation g, 723. 1996.
[33] Lin, Z.; Huang, Y.; Wang, J.; “RNN-SM: Fast steganalysis of VoIP streams using recurrent neural network”; IEEE Trans. Inf. Foren. Sec. 2018, 13, 1854-1868. https://doi.org/10.1109/ TIFS.2018.2806741.
)
