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Security as a Service using Data Steganography in Cloud

机译:在云中使用数据隐写术作为服务的安全性

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In cloud era as the data stored is away from the user, privacy and integrity of the data plays a crucial role. This paper proposes a practical and efficient method for providing security to the data stored at the data server through metadata. This method provides security using cipher key which is generated from the attributes of metadata. In this proposed model the time required for generating the cipher key is proportional to the number of attributes in the metadata as well the algorithms used for cipher key generation. Our design enforces security by providing two novel features. 1. Security is provided by the proposed model, where the encryption and decryption keys cannot be compromised without the involvement of data owner and the metadata data server (MDS), hence makes data owner comfortable about the data stored. 2. The cipher key generated using the modified feistel network holds good for the avalanche effect as each round of the feistel function depends on the previous round value. The proposed model also makes data owner reassured about the data stored at the cloud in both cases: (i) Data at Rest and (ii) Data in motion. The steganographic method used is automated based on the input from the metadata server and the user. We have implemented a security model incorporating these ideas and have evaluated the performance and scalability of the proposed model.
机译:在云时代,由于存储的数据远离用户,数据的隐私和完整性扮演至关重要的作用。本文提出了一种用于通过元数据在数据服务器处存储的数据提供安全性的实用和有效的方法。此方法使用从元数据的属性生成的密钥提供安全性。在该建议的模型中,生成密钥所需的时间与元数据中的属性数量成比例,也与用于密码密钥生成的算法。我们的设计通过提供两种新颖功能来强制安全性。 1.安全是由所提出的模型提供的,其中加密和解密密钥在没有数据所有者和元数据数据服务器(MDS)的情况下,因此使数据所有者对存储的数据感到舒适。 2.使用修改的Feistel网络生成的密钥对雪崩效果的良好效果,因为每轮Feistel函数都取决于先前的圆形值。所提出的模型还使数据所有者在两种情况下存储在云中的数据保证:(i)休息的数据和(ii)运动中的数据。使用的隐写方法基于来自元数据服务器和用户的输入自动化。我们已经实施了一种包含这些想法的安全模型,并评估了所提出的模型的性能和可扩展性。

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