- 期刊
- OpenAccess
Steganography Based Secure Data Storage and Intrusion Detection for Cloud Computing Using Signcryption and Artificial Neural Network
摘要
An efficient approach for providing very high secure storage data to the cloud system is proposed in this study. In order to effectively access data from the cloud server, a secure authentication is highly essential. After the authentication the user data is examined to ascertain whether the specified data is normal or intrusive in accordance with the intrusive recognition system, such as the Artificial Neural Network (ANN). It is accompanied by the encryption of the file by means of the signcryption technique. For the purpose of enhancing the storage safety of the novel approach, the steganography methods are carried out immediately after the encryption technique. In the innovative technique, the linguistic steganography approach is employed to conceal the data from the TPA. Subsequently, the data is subdivided arbitrarily and is amassed into cloud. The epoch-making steganography based secure storage and intrusion recognition technique is performed with the mighty assistance of the Cloud simulator in the working platform of Java software.
延伸閱讀
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