Davis Mayer Streebog Cryptographic Hash-Based Blockchain for Secure Transaction Management Using SDN in IIoT Applications

• Published in: Journal of signal processing systems 2023-03, Vol.95 (2-3), p.241-252
• Main Authors: Alahmari, Saad Ali, Rajeyyagari, Sivaram, Al-Turjman, Fadi
• Format: Article
• Language: English
• Subjects: Algorithms; Applications programs; Blockchain; Circuits and Systems; Communication; Communication networks; Computer architecture; Computer Imaging; Confidentiality; Cryptography; Cybersecurity; Data communication; Data management; Electrical Engineering; Encryption; Engineering; Image Processing and Computer Vision; Industrial applications; Internet of Things; Pattern Recognition; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Software-defined networking; Statistical analysis; Vision
• ISSN: 1939-8018; 1939-8115
• DOI: 10.1007/s11265-022-01825-9

Software-Defined Networking (SDN) is the network architecture used to simplify data management and facilitate communication network innovation. Security has been a more important task in the Industrial Internet of Things (IIoT) using SDN communication networks due to the network complexities. Moreover, communication still faces challenges in ensuring security and privacy to protect from security attacks and offers reliable financial services in IIoT. Davis Mayer Streebog Cryptographic Blockchain-based Secured Data Transaction (DMSCB-SDT) framework is introduced in SDN to improve secure data communication. The DMSCB-SDT framework aims to perform data transactions via the SDN using a blockchain-based network in the financial service industry. The DMSCB-SDT framework is designed with the integration of blockchain and the Streebog Cryptographic hash function. At first, the input data are separated into different blocks. Streebog cryptographic hash function uses the Davis Mayer compression function for producing the hash for each data block to perform the encryption process. After that, the original data is altered into ciphertext in the form of the hash value. Next, the data is transmitted to the receiver for performing decryption for obtaining the original data with a similar key. The unauthorized entity is avoided to protect the original data. As a result, the DMSCB-SDT framework ensures security and confidentiality to preserve the data and provide better communication. The statistical analysis and results show that the DMSCB-SDT framework achieves better security in terms of a higher confidentiality rate, dynamically minimizing the processing time of secure data transactions, and minimizing the computation overhead than the other state-of-the-art works.