# CrossDeFi: A Novel Cross-Chain Communication Protocol
## 9 Conclusions  
In this paper, a novel DeFi cross-chain protocol, CrossDeFi, was proposed with the objective of enhancing interoperability and transaction finality guarantees in asset transfers across heterogeneous DeFi systems. CrossDeFi incorporates the miner and bridge selection (MBS) and improved transfer confirmation (ITC) mechanisms to achieve these goals. Initially, the MBS mechanism enhances interoperability by optimizing speed, transaction fees, and transfer accuracy through the selection of the most suitable miners and asset-specific bridges. By dynamically selecting the best nodes as miners and leveraging highly suitable cross-chain bridges for asset transfers, CrossDeFi maximizes overall efficiency and user experience in DeFi. Furthermore, by utilizing multiple pieces of information related to blockchain type and network conditions, CrossDeFi effectively addresses cross-chain asset transfer challenges and maximizes efficiency. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Number of Users**} & \multicolumn{6}{c}{**TD in Seconds**} \\ \cline{2-7}  & **CD** & **Pol** & **CoS** & **HL** & **NM** & **SR** & **ATP** \\ \hline
20 & 25.6 & 35.2 & 40.6 & 38.1 & 46.8 & 35.3 & 42.9 \\
40 & 33.8 & 48.7 & 62.2 & 51.7 & 72.3 & 62.9 & 69.8 \\
60 & 50.2 & 61.8 & 89.7 & 93.3 & 85.9 & 95.8 & 88.3 \\
80 & 61.4 & 83.2 & 103.6 & 120.9 & 110.2 & 135.9 & 102.7 \\
100 & 72.5 & 102.6 & 145.7 & 160.1 & 170.9 & 165.8 & 140.4 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: TD (transaction duration) comparison of CrossDeFi with existing protocols in seconds. Figure 8: Impact of user load on transfer delay across multiple cross-chain protocols. The ITC strategy assures a transaction finality guarantee for asset transfers by integrating an efficient and secure transfer confirmation process using cryptographic primitives between the involved DeFi systems. This approach not only secures the transfer but also ensures the integrity and finality of transactions, which is critical in financial applications. The prototype-based experimental evaluation demonstrates the performance efficiency of the proposed CrossDeFi in terms of asset transfer accuracy and speed. The asset-specific bridge selection and transfer confirmations in CrossDeFi assist in achieving an asset transfer accuracy of 96% with a reduced delay of 72.5 s even when the network comprises a high number of users. The results clearly indicate that CrossDeFi outperforms existing cross-chain solutions in terms of transfer accuracy and delay under all scenarios without compromising security levels. By providing seamless interoperability and finality guarantees across heterogeneous DeFi networks, CrossDeFi ensures precise and timely asset transfers, thereby enhancing the user experience. Looking forward, while CrossDeFi has shown significant promise, it has some potential limitations related to privacy and universal bridge design. Enhancing the security features of CrossDeFi can protect asset transfers against a broader range of attacks. The evolving landscape of blockchain technologies presents opportunities for further enhancements of CrossDeFi in the future. Future work could explore scaling solutions to support an even broader range of transactions, extend the applicability of CrossDeFi to additional blockchain platforms, and enhance privacy measures without compromising the security and integrity of asset transfers. Instead of selecting the most suitable bridges, future work aims to design a universal bridge that supports any asset transfer across heterogeneous DeFi systems. In conclusion, CrossDeFi represents a significant advancement in the field of decentralized finance, offering a robust framework for secure, efficient, and interoperable asset transfers across diverse blockchain systems. As the DeFi ecosystem continues to evolve, the methodologies and insights from this study will undoubtedly contribute to the development of more sophisticated and reliable financial platforms. Conceptualization, S.S.M.A. ; formal analysis, S.S.M.A.