Investigation of Steganography Methods in Audio Standard Coders: LPC, CELP, MELP

الموضوعات : Majlesi Journal of Telecommunication Devices

Saeed Talati ¹ , Pouria EtezadiFar ² , Mohammad Reza Hassani Ahangar ³ , Mahdi Molazade ⁴

1 - Faculty of Electrical Engineering, Imam Hossein University, Tehran, Iran
2 - Faculty of Electrical Engineering, Imam Hossein University, Tehran, Iran
3 - Faculty of Electrical Engineering, Imam Hossein University, Tehran, Iran
4 - Faculty of Electrical Engineering, Imam Hossein University, Tehran, Iran

تاريخ الإرسال : 03 الأحد , جمادى الأولى, 1444 تاريخ التأكيد : 24 الأربعاء , رجب, 1444 تاريخ الإصدار : 09 الأربعاء , شعبان, 1444

الکلمات المفتاحية: Steganography, Audio Signal, LSB, Coding,

ملخص المقالة :

Information security is currently one of the most important issues that have been considered by many researchers. The purpose of Steganography is to hide hidden messages in a non-secret file. In general, information Steganography is a method of secure communication that aims to hide data so that no data appears to be hidden. The principle of Steganography is to use spaces from the information carrier that do not harm the identity of the carrier. By Steganography information from unauthorized recipients, the information is hidden and hidden inside it without harming the signals. This information may be transmitted around us and wherever any file is sent. It may contain very dangerous content for the security of the space in which we live. Audio signals are very used for steganography because Digital audio signals have higher redundancy and higher data transfer speeds, making them suitable for use as a cover. The LPC10, CELP, and MELP audio standards are widely used in audio and speech processing and are powerful high-quality speech coding methods that provide highly accurate estimates of audio parameters and are widely used in communications. Therefore, since considering that these audio standards are used in commercial and military telecommunication systems, they can be considered a suitable platform for sending the following message of audio content. We try to carefully examine these standards and the audio Steganography done in these standards.

المصادر:

• Bishnu Atal "The History of Linear Prediction". ICASSP '78. IEEE Signal Processing Magazine, vol.23, no2, march 2006. 154-161.

 

 

• M. M. N. Raja, M. P. R. Jangid and S. M. Gulhane, “Linear predictive coding”. Int. J. Eng. Sci. Res. Technol. Vol. 4, 373–379, Apr. 2015.


• Bishnu Atal and Manfred Schroeder. "Predictive coding of speech signals and subjective error criteria". ICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing. 3: 573–576, 1978.


• V. McCree and T. P. Barnwell, "A mixed excitation LPC vocoder model for low bit rate speech coding". IEEE Transactions on Speech and Audio Processing, vol. 3, no. 4, pp. 242-250, July 1995.


• Saeed Talati, Pouriya Etezadifar. (2020). “Providing an Optimal Way to Increase the Security of Data Transfer Using Watermarking in Digital Audio Signals”,MJTD, vol. 10, no. 1.


• Muhammad Asad; Junaid Gilani; Adnan Khalid, “An enhanced least significant bit modification technique for audio steganography”, International Conference on Computer Networks and Information Technology, July 2011.


• Fatiha Djebbar, Beghdad Ayady, Habib Hamamzand Karim Abed-Meraim, “A view on latest audio steganography”, International Conference on Innovations in Information Technology, 2011, pages 409-414.


• Gopalan, “Audio steganography using bit modification”. in Proc. IEEE International Conference onMultimedia and Expo (ICME), Baltimore, USA, Vol. 1, 2003, pp. 1–629.


• Sabine Schmidt, Wojciech Mazurczyk, Radoslaw Kulesza, J‌org Keller, Luca Caviglione, “Exploiting IP Telephony with Silence Suppression for Hidden Data Transfers”, Computers & Security, 2018.


• Ahmad Delforouzi, Mohammad Pooyan, “Adaptive Digital Audio Steganography Based on Integer Wavelet Transform”, International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2007.


• Anjana Krishnan A, Satheesh Chandran C, Suraj Kamal, Supriya M.H. “Spread Spectrum Based Encrypted Audio Steganographic System with Improved Security”. Proceeding of Second International conference on Circuits, Controls and Communications, 2017.


• Suhaip A. Yousif, Talaat M.wahbi,Mohamed H. Sayed. “Steganography Using Tone Insertion Technique,International”. Journal of Computer Applications Technology and Research Volume 6–Issue 6, 254-258, 2017, ISSN:-2319–8656 .Audio 2017.


• Samir Kumar, Bandyopadhyay Barnali, Gupta Banik, “LSB Modification and Phase Encoding Technique of Audio Steganography Revisited”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 1, Issue 4, June 2012


• Hashemi, Seyed & Barati, Shahrokh & Talati, S. & Noori, H. (2016). “A genetic algorithm approach to optimal placement of switching and protective equipment on a distribution network”. Journal of Engineering and Applied Sciences. 11. 1395-1400.

 

• Hashemi, Seyed & Abyari, M. & Barati, Shahrokh & Tahmasebi, Sanaz & Talati, S. (2016). “A proposed method to controller parameter soft tuning as accommodation FTC after unknown input observer FDI”. Journal of Engineering and Applied Sciences. 11. 2818-2829.


• Talati, A. Rahmati, and H. Heidari. (2019) “Investigating the Effect of Voltage Controlled Oscillator Delay on the Stability of Phase Lock Loops”,MJTD, vol. 8, no. 2, pp. 57-61.


• Talati, S., & Alavi, S. M. (2020). “Radar Systems Deception using Cross-eye Technique”.Majlesi Journal of Mechatronic Systems, 9(3), 19-21.


• Saeed Talati, mohamadreza Hasani Ahangar (2020) “Analysis, Simulation and Optimization of LVQ Neural Network Algorithm and Comparison with SOM”, MJTD, vol. 10, no. 1.


• Talati, S., & Hassani Ahangar. M. R. (2020) “Combining Principal Component Analysis Methods and Self-Organized and Vector Learning Neural Networks for Radar Data”,Majlesi Journal of Telecommunication Devices, 9(2), 65-69.


• Hassani Ahangar, M. R., Talati, S., Rahmati, A., & Heidari, H. (2020). “The Use of Electronic Warfare and Information Signaling in Network-based Warfare”. Majlesi Journal of Telecommunication Devices, 9(2), 93-97.


• Saeed Talati, Pouriya Etezadifar. (2020). “Providing an Optimal Way to Increase the Security of Data Transfer Using Watermarking in Digital Audio Signals”,MJTD, vol. 10, no. 1.


• Aslinezhad, M., Mahmoudi, O., & Talati, S. (2020). “Blind Detection of Channel Parameters Using Combination of the Gaussian Elimination and Interleaving”.Majlesi Journal of Mechatronic Systems, 9(4), 59-67.


• Talati, S., & Amjadi, A. (2020). “Design and Simulation of a Novel Photonic Crystal Fiber with a Low Dispersion Coefficient in the Terahertz Band”.Majlesi Journal of Mechatronic Systems, 9(2), 23-28.


• Talati, Saeed, Hassani Ahangar, Mohammad Reza. (2021). “Radar Data Processing Using a Combination of Principal Component Analysis Methods and Self-Organized and Digitizing Learning Vector Neural Networks”, Electronic and Cyber Defense, 9 (2), pp. 1-7.


• Talati, S., Alavi, S. M., & Akbarzade, H. (2021). “Investigating the Ambiguity of Ghosts in Radar and Examining the Diagnosis and Ways to Deal with it”. Majlesi Journal of Mechatronic Systems, 10(2).


• Etezadifar, P., & Talati, S. (2021). “Analysis and Investigation of Disturbance in Radar Systems Using New Techniques of Electronic Attack”.Majlesi Journal of Telecommunication Devices, 10(2), 55-59.


• Talati, Behzad. Ebadi, Houman. Akbarzade “Determining of the fault location in distribution systems in presence of distributed generation resources using the original post phasors”. QUID 2017, pp. 1806-1812, Special Issue No.1- ISSN: 1692-343X, Medellín-Colombia. April 2017.


• Talati, Saeed, Akbari Thani, Milad, Hassani Ahangar, Mohammad Reza. (2020). “Detection of Radar Targets Using GMDH Deep Neural Network”, Radar Journal, 8 (1), pp. 65-74.


• Talati, S., Abdollahi, R., Soltaninia, V., & Ayat, M. (2021). “A New Emitter Localization Technique Using Airborne Direction Finder Sensor”.Majlesi Journal of Mechatronic Systems, 10(4), 5-16.


• Sharifi-Tehrani, "Design, Simulation and Fabrication of Microstrip Hairpin and Interdigital BPF for 2.25 GHz Unlicensed Band," Majlesi Journal of Telecommunication Devices, vol. 6, no. 4, 2017.


• Sharifi-Tehrani and S. Talati. (2017) “PPU Adaptive LMS Algorithm, a Hardware-Efficient Approach; a Review on”,Majlesi Journal of Mechatronic Systems, vol. 6, no. 1.


• Sharifi-Tehrani, "Hardware Design of Image Channel Denoiser for FPGA Embedded Systems," Przegląd Elektrotechniczny, vol. 88, no. 3b, pp. 165-167, 2012.


• Sharifi-Tehrani, A. Sadeghi, and S. M. J. Razavi, "Design and Simulation of IFF/ATC Antenna for Unmanned Aerial Vehicle," Majlesi Journal of Mechatronic Systems, vol. 6, no. 1, pp. 1-4, 2017.


• S. Tehrani, M. Ashourian, and P. Moallem, "An FPGA-based implementation of fixed-point standard-LMS algorithm with low resource utilization and fast convergence," International Review on Computers and Software, vol. 5, no. 4, pp. 436-444, 2010.


• Sharifi-Tehrani, "Novel hardware-efficient design of LMS-based adaptive FIR filter utilizing Finite State Machine and Block-RAM," Przeglad Elektrotechniczny, vol. 87, no. 7, pp. 240-244, 2011.


• Sharifi-Tehrani, M. F. Sabahi, and M. R. Danee, "Low-Complexity Framework for GNSS Jamming and Spoofing Detection on Moving Platforms," IET Radar, Sonar & Navigation, vol. 14, no. 12, pp. 2027-2038, 2020.


• Ashourian and O. Sharifi-Tehrani, "Application of semi-circle law and Wigner spiked-model in GPS jamming confronting," Signal, Image and Video Processing, pp. 1-8, 2022.


• Sharifi-Tehrani, M. F. Sabahi, and M. Danaee, "Null broadened–deepened array antenna beamforming for GNSS jamming mitigation in moving platforms," ICT Express, vol. 8, no. 2, pp. 161-165, 2022.


• Sharifi-Tehrani, H. Lashgarian, M. Soleymanzade, and M. H. Ghasemian, "Futurology of Electronic Warfare Systems for IR. IRAN's Fast Crafts," Majlesi Journal of Telecommunication Devices, vol. 8, no. 2, 2019.


• Sharifi-Tehrani, A. Sadeghi, and S. M. J. Razavi, "Design and Simulation of IFF/ATC Antenna for Unmanned Aerial Vehicle," Majlesi Journal of Mechatronic Systems, vol. 6, no. 1, pp. 1-4, 2017.


• Pourghassem, O. Sharifi-Tehrani, and M. Nejati, "A novel weapon detection algorithm in X-ray dual-energy images based on connected component analysis and shape features," Australian Journal of Basic and Applied Sciences, vol. 5, pp. 300-307, 2011.


• Sharifi-Tehrani, "Novel hardware-efficient design of LMS-based adaptive FIR filter utilizing Finite State Machine and Block-RAM," Przeglad Elektrotechniczny, vol. 87, no. 7, pp. 240-244, 2011.


• Sharifi-Tehrani, M. F. Sabahi, and M. R. Danee, "GNSS Jmming Detection of UAV Ground Control Station Using Random Matrix Theory," ICT Express, vol. In Press, 2020.


• S. Tehrani, M. Ashourian, and P. Moallem, "Fpga implementation of a channel noise canceller for image transmission," in Machine Vision and Image Processing (MVIP), 2010 6th Iranian, 2010, pp. 1-6: IEEE.


• Seyed Morteza Ghazali, Jalil Mazloum, Yasser Baleghi. “Modified binary salp swarm algorithm in EEG signal classification for epilepsy seizure detection” Biomedical Signal Processing and Control. Volume 78, September 2022, 103858.