Security threats are crucial challenges that deter Mixed reality (MR) communication in medical telepresence. This research aims to improve the security by reducing the chances of types of various attacks occurring during the real-time data transmission in surgical telepresence as well as reduce the time of the cryptographic algorithm and keep the quality of the media used. The proposed model consists of an enhanced RC6 algorithm in combination. Dynamic keys are generated from the RC6 algorithm mixed with RC4 to create dynamic S-box and permutation table, preventing various known attacks during the real-time data transmission. For every next session, a new key is created, avoiding possible reuse of the same key from the attacker. The results obtained from our proposed system are showing better performance compared to the state of art. The resistance to the tested attacks is measured throughout the entropy, Pick to Signal Noise Ratio (PSNR) is decreased for the encrypted image than the state of art, structural similarity index (SSIM) closer to zero. The execution time of the algorithm is decreased for an average of 20%. The proposed system is focusing on preventing the brute force attack occurred during the surgical telepresence data transmission. The paper proposes a framework that enhances the security related to data transmission during surgeries with acceptable performance.

安全威胁是阻止医疗远程呈现中的混合现实（MR）通信的关键挑战。这项研究旨在通过减少手术远程呈现中实时数据传输期间发生各种攻击类型的机会以及减少密码算法的时间并保持所用媒体的质量来提高安全性。所提出的模型由组合的增强RC6算法组成。通过与RC4混合的RC6算法生成动态密钥，以创建动态S-box和排列表，从而防止在实时数据传输期间发生各种已知的攻击。对于每个下一个会话，都会创建一个新密钥，从而避免了攻击者可能重复使用同一密钥。与现有技术相比，从我们提出的系统获得的结果显示出更好的性能。在整个熵中测量对测试攻击的抵抗力，与现有技术相比，加密图像的拾取信号噪声比（PSNR）降低，结构相似性指数（SSIM）接近零。该算法的执行时间平均减少了20％。提出的系统着重于防止在外科远程呈现数据传输期间发生的暴力攻击。本文提出了一个框架，可以以可接受的性能增强与手术期间数据传输相关的安全性。提出的系统着重于防止在外科远程呈现数据传输期间发生的暴力攻击。本文提出了一个框架，可以以可接受的性能增强与手术期间数据传输相关的安全性。提出的系统着重于防止在外科远程呈现数据传输期间发生的暴力攻击。本文提出了一个框架，可以以可接受的性能增强与手术期间数据传输相关的安全性。