Cloud Data Security Improvement Using Cryptographic Steganography by Truly Random and Cryptographically Secure Random Number

Chavan, Rajendra Anil (2023) Cloud Data Security Improvement Using Cryptographic Steganography by Truly Random and Cryptographically Secure Random Number. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cloud computing is one of the most significant advances in information technology, but data storage security is a major issue in the cloud environment. The need for security and privacy in the age of digital communication is increasing as more devices are being connected to the internet every day. It is necessary to secure confidential communications during transfer over insecure online channels. Therefore, data security becomes an essential area of research during this era of cloud storage and computing. Steganography is a method for concealing information within an unobservable medium, such as images, text, audio or video files and the topic of this research. The proposed method conceals data such as text within an image using least significant bit (LSB) embedding assisted by a cryptographically secure pseudo-random number (CSPRNG) generator to calculate the pixel coordinates for storing the message bits. The secure key used was generated by derivative of the 1M iterations of a pseudo random function, PBKDF2-HMA-256 on the input password. The iterative pair of values generated from the Chacha20 stream cipher from the secure key that corresponds to the CSPRNG value was used to determine the pixel co-ordinates of the message bits to be hidden. The proposed research approach was implemented and evaluated on different cover images and message inputs. The whole code implementation was done using python and both the encryption and decryption process of the stego image was performed and verified for data integrity. This implementation provides extremely hard to decipher and fool-proof technique in the absence of truly random number generators (TRNGs).

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mijumbi, Rashid UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	12 Aug 2024 15:29
Last Modified:	12 Aug 2024 15:29
URI:	https://norma.ncirl.ie/id/eprint/7047

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