媒体云数据增强的基于密文策略属性的加密和序列化

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Pervasive Computing and Communications Pub Date : 2022-10-05 DOI:10.1108/ijpcc-06-2022-0223
M. R., H. M. T. Gadiyar, Sharath S. M., M. Bharathrajkumar, S. K
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引用次数: 1

摘要

目的通过执行加密操作和特征来提供有效的云和物联网(IoT)访问控制,有各种系统技术或模型用于访问控制。特别是在云计算环境中,这些传统的对称加密技术大规模分布。这些对称加密技术对加密和解密过程使用相同的密钥。然而,在这些阶段的执行过程中,它们都面临着密钥分配和管理的问题。本研究的目的在于提供云端运算环境下有效的密钥管理与密钥分配。设计/方法/方法本文采用Cipher - text-Policy Attribute-Based Encryption (CP-ABE)技术,采用适当的访问控制策略,在云和物联网环境中通过加密过程提供数据所有者的控制和共享数据。数据在云存储的帮助下共享,甚至在授权用户在场的情况下也是如此。本研究采用的主要方法是增强型CP-ABE串行化(e -CP-ABE)方法。结果通过加密时间、完成时间和解密时间来衡量,与现有的CP-ABE技术相比,结果更好。对比分析表明,本文提出的e -CP-ABE在256个密钥长度下完成时间为2373 ms,而现有的CP-ABE完成时间为3129 ms。除此之外,现有的高级加密标准(AES)方案的完成时间为3449毫秒。本研究采用E-CP-ABES访问控制技术,验证具有非常敏感的数据集约束的隐藏属性,解决物联网和云计算环境中存在的密钥管理问题和访问控制机制。该研究的新颖之处在于,所提出的E-CP-ABES通过使用一个称为序列化过程的过程结合了可扩展的、部分隐藏的约束策略,并将其序列化为字节流。冗余余数系统被认为是为了消除在处理串行化中获得的位或数据时发生的错误。使用反序列化过程恢复数据流。
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Enhanced cipher text-policy attribute-based encryption and serialization on media cloud data
Purpose There are various system techniques or models which are used for access control by performing cryptographic operations and characterizing to provide an efficient cloud and in Internet of Things (IoT) access control. Particularly in cloud computing environment, there is a large-scale distribution of these traditional symmetric cryptographic techniques. These symmetric cryptographic techniques use the same key for encryption and decryption processes. However, during the execution of these phases, they are under the problems of key distribution and management. The purpose of this study is to provide efficient key management and key distribution in cloud computing environment. Design/methodology/approach This paper uses the Cipher text-Policy Attribute-Based Encryption (CP-ABE) technique with proper access control policy which is used to provide the data owner’s control and share the data through encryption process in Cloud and IoT environment. The data are shared with the the help of cloud storage, even in presence of authorized users. The main method used in this research is Enhanced CP-ABE Serialization (E-CP-ABES) approach. Findings The results are measured by means of encryption, completion and decryption time that showed better results when compared with the existing CP-ABE technique. The comparative analysis has showed that the proposed E-CP-ABES has obtained better results of 2373 ms for completion time for 256 key lengths, whereas the existing CP-ABE has obtained 3129 ms of completion time. In addition to this, the existing Advanced Encryption Standard (AES) scheme showed 3449 ms of completion time. Originality/value The proposed research work uses an E-CP-ABES access control technique that verifies the hidden attributes having a very sensitive dataset constraint and provides solution to the key management problem and access control mechanism existing in IOT and cloud computing environment. The novelty of the research is that the proposed E-CP-ABES incorporates extensible, partially hidden constraint policy by using a process known as serialization procedure and it serializes to a byte stream. Redundant residue number system is considered to remove errors that occur during the processing of bits or data obtained from the serialization. The data stream is recovered using the Deserialization process.
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来源期刊
International Journal of Pervasive Computing and Communications
International Journal of Pervasive Computing and Communications COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.60
自引率
0.00%
发文量
54
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