Accelerating Information Security in Cloud Computing using a Novel Holomorphic Scheme
Dhananjaya1, Balasubramani R2

1Dhananjaya V*, Research Scholar, NMAM Institute of Technology, Karnataka, India.
2Dr. Balasubramani R, Professor in ISE, NMAM Institute of Technology, Karnataka, India.

Manuscript received on October 16, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 521-529 | Volume-9 Issue-1, November 2019. | Retrieval Number: J90670881019/2019©BEIESP | DOI: 10.35940/ijitee.J9067.119119
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Abstract: In the past decades, many security algorithms are invented and used in many applications for encryption and decryption of information or data. All the secure algorithms were uses the security key of size 8bit, 16bit, 32bit, 64bit and 128bits for encryption and decryption but literature survey says that higher the key size, higher the security. But the higher key size has number more bits and its requires more memory for storage and also to perform each and every bit through computational operations leads to more delay. To address these issues, the key and plain text are of 128bits and converted into integer. The converted integer values of key and plaintext are encrypted and decrypted using Holomorphic through Advanced Encryption Standard (AES). The research method is sophisticated and more protected through meaning fully lesser key in size and is accomplished for encryption in terms integer key and plaintext moderately than binary bits, therefore larger size of key and plaintext can be minimized and reduced the computational complexities. Finally the cipher text is uploaded into cloud through Real Time Transport Protocol (RTP) and Real Time Transport Control Protocol (RTCP) for storage. The main problem with continuous sharing of information into cloud is security attacks so in this research work, three different multimedia signals such as ECG, EEG and biomedical images are converted into integer and encrypted using AES. The stored data can access by the authorized users and can decode the information after decryption using AES.
Keywords: Multimedia Data, AES, Cloud, IOT, thingspeack and RTP-RTCP.
Scope of the Article: IOT