基于模因算法的医学图像传输安全

Thangapalani L, Dharini R, K. R
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引用次数: 0

摘要

近年来,医疗行业在保护世界各地人们的医疗记录方面面临着不利的问题。在偏远地区,如果出现严重的健康问题,如果他们想联系城市地区的医生,新技术是远程放射学,你可以通过基于物联网的分布式系统发送数据。在病历传输过程中对医学图像进行安全保护是维护病历隐私的一项重要任务。然后,为了保护这些记录,我们必须实现两种技术:隐写和加密。这些技术在基于物联网的分布式系统中充当第二层安全性。这里我们将使用“模因算法”,一种生物启发的遗传算法。该算法可以有效地对数据进行加密和解密。为了提高医疗数据加密传输的安全性和效率,提出了一种名为“模因优化”的新方法。该方法利用模因算法优化密钥生成过程,提高加密密钥的随机性。通过将模因优化技术融入加密过程,增强了MD传输的安全性,使其更能抵抗未经授权用户的攻击。实验结果表明,该方法是有效的,具有提高MD传输安全性和效率的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Securing Medical Image Transmission using Memetic Algorithm
In recent times, medical industry faces adverse issue in terms of protecting the medical records of people all over the world. In remote areas, in case of severe health issues, if they want to contact the doctors in urban areas, the new technology has been introduced is teleradiology where you can send the data through IoT based distributed systems. Securing the medical images while transferring the medical records is an important task to maintain the privacy. Then for securing these records, we have to implement two techniques that i steganography and cryptography. These technologies act as a second layer security in the IoT based distributed systems. Here we will be using "Memetic algorithm", a bio-inspired genetic algorithm. This algorithm is used effectively to encrypt and decrypt the data.This paper proposes a novel approach called "Memetic Optimization" for intensifying the security and efficiency of Medical Data(MD) transmission through cryptography. The proposed method involves using memetic algorithms to optimize the key generation process and improve the randomness of the keys used for encryption. By incorporating memetic optimization techniques into the cryptographic process, the security of MD transmission is strengthened, making it more resistant to attacks by unauthorized users. The results of our experiments show the effectual of the proposed method, and its potential for improving the security and efficiency of MD transmission.
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