Blockchain and Onion-Routing-Based Secure Message Exchange System for Edge-Enabled IIoT

【Author】 Gupta, Rajesh; Jadav, Nilesh Kumar; Mankodiya, Harsh; Alshehri, Mohammad Dahman; Tanwar, Sudeep; Sharma, Ravi

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】M2M communication in the Industrial Internet of Things is still in its infancy as the information exchange between machines is hindered by various modern security challenges and threats. An attacker can leverage the M2M communication by exploiting it with resource exhaustion, data integrity, and injection attacks. In this article, to address the aforementioned security issues, we first employed a long short-term memory based AI model on the edge servers to classify the machines' malicious and nonmalicious message requests and forwarded them to the onion routing (OR) network. Then, to enhance the security and reliability of the conventional OR network, we have associated it with blockchain technology by incorporating two additional fields along with the original message requests, i.e., verifying token and time to live that validates the incoming message requests. Additionally, the OR network, along with blockchain, is simulated inside a discrete simulator, i.e., a shadow simulator. Finally, the performance of the proposed system is evaluated with different performance metrics, such as F1 score, precision, recall, and false-negative rate. The empirical results show that the proposed OR network outperforms the conventional OR in terms of throughput, decryption time (computationally inexpensive), and OR circuit compromised rate.

【Keywords】Deep learning; Industrial Internet of Things (IIoT); long short-term memory (LSTM); machine- to-machine (M2M) communication; onion routing (OR); security

【发表时间】2023 FEB

【收录时间】2023-03-24

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-物联网