# Blockchain Solutions for Enhancing Security and Privacy in Industrial IoT
## 5 Experiment and Results
### Comparative Analysis of Blockchain-Integrated IIoT Systems with Traditional IIoT Architectures  
In conducting a comparative analysis of our blockchain-integrated Industrial Internet of Things (IIoT) system, we draw insights from the relevant literature that focuses on traditional IIoT systems [41; 42]. The study [41] highlights the inefficiencies associated with the Proof-of-Work (PoW) mechanism, reporting high energy consumption and slow transaction processing, which are critical issues in IIoT environments that demand energy efficiency and speed. Our experiment, which utilized Ethereum's Proof-of-Stake (PoS) consensus mechanism, demonstrated a significant 76% reduction in energy consumption compared with traditional PoW methods, aligning with the paper's suggestion that optimizations to PoW could improve resource efficiency. Moreover, our results indicate that PoS not only enhances energy efficiency but also supports faster transaction processing, with our system handling 1200 transactions per second under normal conditions.  
Another study [42] emphasizes the security vulnerabilities and network intrusions faced by traditional IIoT architectures. It proposes an Artificial Intelligence-based Lightweight Blockchain Security Model (AILBSM) to enhance privacy and security. Our ex  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Beneficiary** & **Impact** & **Example** \\ \hline \multirow{2}{*}{Factories} & Enabled predictive maintenance to prevent machinery failures. & Detected overheating in factory A at 3:00 a.m., preventing potential downtime. \\ \hline \multirow{2}{*}{Security Teams} & Automated defense mechanisms minimize downtime during cyberattacks. & Mitigated DDoS attacks within 28 s, reducing operational disruptions. \\ \hline \multirow{2}{*}{Environmental Impact} & Reduced energy consumption by 62\%, aligning with sustainability goals. & Edge computing reduced cloud load by 40\%, resulting in a 40\% decrease in overall energy use. \\ \hline \hline \end{tabular}
\end{table}
Table 9: Real-world impact of blockchain-integrated IIoT system.  
periment's results underscore the robust security features of the blockchain-integrated IIoT system, with a rapid threat response capability during a simulated DDoS attack, achieving a Mean Time to Detect (MTTD) of 12 s and a Mean Time to Mitigate (MTTM) of 28 s, which surpasses the security capabilities of traditional IIoT systems discussed in the paper. The use of edge computing in our system also significantly reduced the computational burden on central servers, thereby enhancing the system's resilience against cyberattacks.  
The comparative analysis reveals that our blockchain-integrated IIoT system outperforms traditional IIoT systems in terms of energy efficiency, transaction processing speed, and security response capabilities. The adoption of the PoS consensus mechanism and the integration of edge computing have been instrumental in achieving these improvements. The findings from our experiment validate the potential of blockchain technology to address the key challenges faced by traditional Industrial Internet of Things (IIoT) systems, thereby supporting the conclusions drawn in the referenced papers regarding the need for innovative solutions to enhance the performance and security of IIoT environments.