## 6 Discussion  
The use of Hermitian positive definite matrices in data hiding might lead to more sophisticated and secure steganographic methods, making it harder for unauthorized parties to detect and extract hidden data. The introduction of new approaches using HPD matrices might contribute to the development of more robust encryption and data protection methods, ensuring confidential information remains hidden from adversaries. The integration of HPD matrices into data-hiding algorithms may involve advanced signal processing and cryptographic techniques, leading to cross-disciplinary advancements in these fields. Leveraging this approach in data hiding could potentially enhance the resilience of data transmission methods, making it more challenging for attackers to tamper with or extract hidden information during data transfer. The use of an HPD matrix for data hiding might impact digital forensic investigations. Investigators may need to update methods for detecting and extracting hidden data, especially in cases involving digital evidence presented in court. For users storing sensitive data in the cloud, this method can provide an additional layer of privacy by embedding information within files, making unauthorized access more challenging. Also, in environments where data security is paramount, this method can help conceal information in a way that is difficult to detect. Users looking to share sensitive information discretivel can benefit from this method, as it provides a means to hide data in images or videos without raising suspicion. In scenarios where covert data transmission is necessary, this steganographic method allows for the secure transmission of critical information. In healthcare, embedding patient information in medical images can enhance data security while maintaining image quality for diagnosis. It can be used in digital media to embed copyright information or ownership details without noticeable alterations to the original content, ensuring the protection of intellectual property. Distributing an HPD Matrix as a secret key involves securely transmitting the matrix, verifying its integrity and authenticity, and then using it for steganographic purposes. The \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Sample** & **Image** & **Image** & **Message** & **Embedding** & **SSIM** & **ET** & **DR: Plain Text** & **DR: Brute Force** \\
**Type** & **Resolution** & **Characters** & **(Bytes)** & **(Range 0-1)** & **(In s)** & **Attack (In** & **Attack (In** & **Percentages)** & **Attack (In** \\ \hline
325 & PNG & 1920 \(\times\) 1080 & 1359 & 49,766,400 & 0.79— Good & 2.11 & 0.49 & 0.54 \\ \hline
310 & PNG & 1280 \(\times\) 720 & 1288 & 22,118,400 & 0.75— Good & 1.58 & 0.57 & 0.63 \\ \hline
310 & PNG & 1024 \(\times\) 768 & 1087 & 18,874,368 & 0.62— Good & 1.54 & 0.89 & 0.98 \\ \hline
280 & PNG & 800 \(\times\) 600 & 729 & 11,520,000 & 0.58— Acceptable & 1.57 & 0.97 & 1.07 \\ \hline
250 & PNG & 640 \(\times\) 480 & 758 & 7,372,800 & 0.47— Poor & 1.07 & 2.59 & 3.01 \\ \hline
345 & BMP & 2560 \(\times\) 1440 & 1402 & 88,473,600 & 0.92— Good & 2.21 & 0.19 & 0.21 \\ \hline
325 & BMP & 1920 \(\times\) 1080 & 1389 & 49,766,400 & 0.87— Good & 2.17 & 0.27 & 0.30 \\ \hline
310 & BMP & 1280 \(\times\) 720 & 1258 & 22,118,400 & 0.81— Good & 2.02 & 0.29 & 0.32 \\ \hline
310 & BMP & 1024 \(\times\) 768 & 1147 & 18,874,368 & 0.74— Good & 1.77 & 0.41 & 0.45 \\ \hline
280 & BMP & 800 \(\times\) 600 & 958 & 11,520,000 & 0.59— Acceptable & 1.43 & 0.55 & 0.58 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: _Cont._distribution of the key can be realized in several ways. We presented two methods in detail in our previous experimental tests in papers [30,31]. In this earlier research, we used [PERSON]'s satellite scenario model and Diffie-Hellman Key Exchange Parameters. Based on the theoretical principles of the Maurer protocol, this method allows for key exchange over a public channel, ensuring that the adversary gains no information regarding either the key or the message.