采用密码学加密方法的多媒体大数据管理混合相干加密方案

A. Dass, J. Prabhu
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引用次数: 0

摘要

在当今的技术世界中,数据在许多不同的技术领域发挥着至关重要的作用。互联网上来自不同媒体和应用程序的数据保密性、完整性和安全性面临着更大的挑战。多媒体和物联网数据产生的数据是当今互联网的另一大大数据。当敏感和机密数据被攻击伪造时,需要采取严重的安全和隐私措施。许多加密技术用于多媒体和物联网,但当开发大量数据时,计算挑战更多。针对物联网和多媒体大数据的问题,提出了一种新的相干加密算法。为了提高数据处理的效率,在GPU的帮助下处理海量数据。在架构、灵活性、可扩展性、安全级别以及计算运行时间、加解密吞吐量和雪崩效应等方面与其他对称密码算法进行了比较。
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Hybrid coherent encryption scheme for multimedia big data management using cryptographic encryption methods
In today's world of technology, data has been playing an imperative role in many different technical areas. Data confidentiality, integrity and data security over internet from different media and applications have greater challenging tasks. Data generation from multimedia and IoT data is another biggest big data in internet now. When sensitive and confidential data are counterfeit by attacks this requires serious countermeasures for security and privacy. Many cryptographic techniques are used for multimedia and IoT but when massive data are developed there are more computational challenges. This paper proposes a new coherent encryption algorithm solving issue of IoT and multimedia big data. Handling huge data with the help of GPU is included in order to enhance the data processing more efficiently. The proposed algorithm is compared with other symmetric cryptographic algorithms based on architecture, flexibility, scalability, security level and also based on computational running time, throughput for both encryption and decryption process and avalanche effect.
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