A Data Preservation Method Based on Blockchain for Digital Sensitive Text Integrity

Abstract

Since the popularity of digital data sharing has grown, data authentication and integrity have received increased attention, and data preservation technology has evolved to suit the demands of the times. However, the current models and techniques for data preservation are simply a mixture of encryption technology. The process of applying these techniques in data authentication requires the participation of the human factor as a third party, which may lead to the risk of data tampering, attacks, and cracks. Recently, Blockchain technology has occupied the place of the most disruptive technological innovation. Blockchain is based on the concept of decentralizing administration, so instead of having a single authoritative source, the system will have a plethora of records that hold the truth. Whenever a change is required or introduced, all records will need to be updated with the new information after being validated. This one-of-a-kind approach prevents the possibility of adding new information to a single record because there are so many to check to see whether it is correct. If we take the most sensitive text as a case study, then the Holy Quran represents the main reference for authenticity and integrity. However, attacks directed at the digital type of this text have witnessed a continuous increase due to the ease and speed of publishing and sharing verses and surahs and the lack of monitoring and confirmation bodies. To solve the present problem, we introduce a blockchain-based Ayat/Surah preservation model. Through the decentralization and smart contract features of the blockchain, tokens can be maintained automatically without human participation to form a guarding sub-chain in the state unit, and the blockchain has a good performance in combating attacks, which is called the 51% attack. Meanwhile, to solve the problem of data confusion and query difficulty caused by an excessive number of cases, the union of cryptography, hashes, and timestamps is used to form a concatenated master string for preservation. Due to the problem of the repetition of some verses of the Quran in some surahs and the need to absolutely guarantee the sequence of verses, the Merkle tree feature for segmentation is used to calculate the segmentation of the verses of each surah. In this way, memorizing verses becomes an automatic process that allows the Holy Quran to withstand the tests of distortion and distortion. On the other side, it gives us the ability to verify the authenticity and integrity of the Quranic texts scattered on websites and applications.