# AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection
## 3 AI-Driven Blockchain Solutions
### AI-Driven Smart Contract
#### 3.2.4 AI-Driven Smart Contract Access Control and Resource Management  
With the increasing adoption of blockchain technology across industries, smart contracts have become a key component in automating and securing digital transactions. However, traditional smart contracts face several limitations in access control and resource management, especially in large-scale decentralized environments. Traditional access control models, such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), often struggle with flexibility, adaptability, and computational efficiency when deployed in dynamic and heterogeneous blockchain ecosystems. AI-driven mechanisms have been introduced into smart contract systems. AI enhances access control by making real-time, context-aware decisions and optimizes resource management through predictive analytics and automated allocation policies. [PERSON] et al. [168] integrated blockchain-based smart contracts with the ABAC model, proposing a distributed and reliable access control framework for smart cities. [PERSON] et al. [169] proposed a novel SLA (Service Level Agreement) management model that utilizes SDN (Software Defined Networking)-enabled WSNs (Wireless Sensor Networks) composed of wireless nodes to facilitate seamless interaction with smart contracts. The proposed model ensures the persistence of network performance metrics and SLA specifications through smart contracts, thus eliminating the need for intermediaries to audit payment and compensation procedures. [PERSON] et al. [170] address the above challenges by introducing a privacy-preserving decentralized database system in a parallel smart contract model. The proposed system implements oblivious access interactions, which are inherently asymmetric and require significant computational effort on the smart contract side. By slightly reducing the overhead of oblivious memory (ORAM) and mitigating the problems associated with centralized servers, the system enhances privacy and decentralization in blockchain-based applications.  
As shown in Table 22, the research on access control and resource management in blockchain systems highlights significant limitations in existing solutions. Current approaches predominantly rely on static ABAC strategies, which prove inadequate for the highly dynamic and decentralized nature of blockchain environments. Additionally, decentralized data access mechanisms such as Oblivious RAM introduce substantial computational overheads and demonstrate poor compatibility with smart contract execution. To address these challenges, future research should explore two key avenues: first, developing AI-driven dynamic access control systems capable of real-time adaptation to contextual changes, and second, innovating lightweight secure storage models to enable efficient and scalable resource management within blockchain ecosystems. These advancements aim to overcome performance bottlenecks while enhancing security and adaptability in decentralized architectures.  
\begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Author** & **Core Innovation** & **Method/Algorithm** & **Application Scenario** & **Advantages** & **Limitations** \\ \hline [PERSON] et al. [168] & ABAC for smart contract access control & ABAC model & Access management & Strong security & High computational resources \\ \hline [PERSON] et al. [169] & SLA management using SDN-integrated smart contracts & SDN + Smart contracts & Wireless sensor networks & Energy-efficient & Suitable for specific networks \\ \hline [PERSON] et al. [170] & Decentralized database access control & ORAM + Parallel Contracts & Database management & Enhances privacy & High computational complexity \\ \hline \hline \end{tabular}
\end{table}
Table 22: Comparison of smart contract access control and resource management research.