多方安全计算在通信网络中的隐私保护与数据安全

多方安全计算通过分散存储和计算过程,保护数据在通信过程中的隐私和机密性。神经网络算法在威胁检测、恶意软件检测、用户身份验证、加密解密、异常检测和预警等方面发挥重要作用。进一步讨论了神经网络算法在通信安全构建中的拓展。以某5G手机卡激活为例,介绍了基于神经网络算法的多方安全防护流程。多方安全计算和神经网络算法的应用有助于提高通信网络的安全性和隐私保护,该技术的发展将在未来的通信网络中发挥重要作用,确保用户隐私和数据的安全。

Multi-party secure computing protects the privacy and confidentiality of data in the communication process through decentralized storage andcomputing process. Neural network algorithms play an important role in threat detection, malware detection, user authentication, encryption anddecryption, exception detection and early warning. The expansion of the neural network algorithm in the communication security constructionis further discussed. Taking a 5G mobile phone card activation as an example, this paper introduces the multi-party security protection processbased on neural network algorithm. The application of multi-party secure computing and neural network algorithms helps to improve thesecurity and privacy protection of communication networks, and the development of this technology will play an important role in the future ofcommunication networks, ensuring the security of user privacy and data.