A Sidechain-Based Decentralized Authentication Scheme via Optimized Two-Way Peg Protocol for Smart Community

Abstract

In this work, we propose a novel sidechain structure via an optimized two-way peg protocol for device authentication in the smart community in order to overcome the limitations of existing approaches. The proposed scheme uses private side blockchains to distribute and manage the local registration and authentication processes, in addition to a local mainchain block to circulate the information record with other smart systems. More importantly, we propose the optimized two-way peg protocol in the proposed sidechain system in order to prevent the worthless information injection attack during the authentication information sharing procedure between the main chain and side blockchains. The optimized two-way peg protocol supervises the availability of the required information by dynamically evaluating the trustworthiness of each smart device. The evaluation is based on numerous criteria, such as the authentication method, previous authentication information sharing history, and local authentication results. Consequently, the simulation results prove the superiority of the proposed scheme in terms of reducing authentication time, improving information management efficiency and decreasing storage consumption as compared to existing works, and the applicability and feasibility of the optimized two-way peg protocol have been approved. It is noteworthy that the proposed sidechain-based method shows its superiority in reducing the cost of authentication time compared with the blockchain-based method when using blockchain structure. The reflected savings are 33.33%, 34.29%, and 36.36% when in comparison to the conventional authentication process without applying any additional method, the authentication process using the proposed sidechain based method, and the authentication process using the blockchain based method, respectively.

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

“…Smart city services integrate many greatly promising technologies resembling databases, data warehouses, advanced computer networks, content management, big data, social mining, and so forth [8]. It should be noted that these technological solutions in the field of smart cities have been applied in various areas, such as smart home [9], smart grid [10], smart community [11], smart governance [12], smart building [13], smart manufacturing [14], smart agriculture [15], and smart healthcare applications that play an important role nowadays [16][17][18]. Smart healthcare monitoring in smart cities is important to provide better services and carefulness to residents [19][20][21][22][23].…”

Enabling machine learning‐based side‐chaining for improving QoS in blockchain‐powered IoT networks

“…In this case, throughput of the proposed method is found to be higher in all the cases. Particularly, when communication node is 1000 and communication range is 10, the throughput of the proposed model is 2649.7 kbps and the existing models like MBS 26 is 2014.0 kbps, optimized two‐way peg 39 is 1343.4 kbps and nonsidechain is 1910.3 kbps.…”

“…For implementing the performance of the developed approach, the IoT system is tested with a large number of connection requests. The performance of the proposed method is compared with the conventional methods like MBS, 26 optimized two-way peg 39 and non sidechain. These requests were made on a standard network environment, consisting of the following parameters given in Table 4.…”

“…Figure 3 indicates comparison of the jitter when communicating nodes are 50, 250, and 1000. When number of communication is 10 and the communication node is 50, the proposed model achieves a jitter of about 0.0434 us, MBS 26 achieves a jitter value of about 0.0571 us, optimized two-way peg 39 achieves a jitter value of about 0.0856 us and nonsidechain achieves a jitter value of about 0.0602 us. Likewise in all number of communications, the proposed model achieved a better result when compared to the other models.…”

A Blockchain Framework for Secure Task Sharing in Multi-Access Edge Computing

“…However, the privacy protection of the end-user is still an open problem. Furthermore, monitoring and auditing the sharing process is required to mitigate the privacy leaking to prevent attacks from malicious users and intruders [15]. • Mobility support for end devices: Break-off may happen when an end-user leaves the current edge server and moves to another one.…”