## 4 Experiments
### Practical Implications  
The comprehensive experimental results demonstrate several key practical advantages of ARCS in real-world cybersecurity deployments. Our framework shows robust performance across diverse operational scenarios, from handling routine security events to responding to sophisticated attack campaigns. The significant reduction in false positive rates (3.9%) addresses a critical pain point in security operations centers, where alert fatigue often compromises response effectiveness. This improvement translates to reduced operational overhead and allows security teams to focus on genuine threats rather than investigating false alarms. The scalability analysis reveals that ARCS maintains stable performance under increasing load, with response times remaining within acceptable bounds even at 2000 concurrent events. This characteristic is particularly valuable for large-scale enterprise deployments where multiple security events often occur simultaneously. The framework's \begin{table}
\begin{tabular}{c c c c c c} \hline \multicolumn{2}{c}{**Learning Rate**} & \multicolumn{2}{c}{**Batch Size**} & \multicolumn{2}{c}{**Discount Factor**} \\ \hline
**Value** & **Performance** & **Value** & **Performance** & **Value** & **Performance** \\ \hline \multirow{3}{*}{\(1\times 10^{-4}\)} & RE: 85.7 \(\pm\) 1.8\% & & RE: 86.8 \(\pm\) 1.8\% & & RE: 87.1 \(\pm\) 1.8\% \\  & ART: 26.8 \(\pm\) 2.4 s & 32 & ART: 25.7 \(\pm\) 2.4 s & 0.90 & ART: 25.3 \(\pm\) 2.4 s \\  & FPR: 4.5 \(\pm\) 0.4\% & & FPR: 4.4 \(\pm\) 0.4\% & & FPR: 4.3 \(\pm\) 0.4\% \\ \hline \multirow{3}{*}{\(5\times 10^{-4}\)} & RE: 88.4 \(\pm\) 1.6\% & & RE: 88.1 \(\pm\) 1.7\% & & RE: 88.3 \(\pm\) 1.7\% \\  & ART: 24.3 \(\pm\) 2.3 s & 64 & ART: 24.5 \(\pm\) 2.3 s & 0.95 & ART: 24.2 \(\pm\) 2.3 s \\  & FPR: 4.1 \(\pm\) 0.3\% & & FPR: 4.2 \(\pm\) 0.3\% & & FPR: 4.1 \(\pm\) 0.3\% \\ \hline \multirow{3}{*}{\(1\times 10^{-3}\)*} & RE: 89.2 \(\pm\) 1.5\% & & RE: 89.2 \(\pm\) 1.5\% & & RE: 89.2 \(\pm\) 1.5\% \\  & ART: 23.5 \(\pm\) 2.2 s & 128 * & ART: 23.5 \(\pm\) 2.2 s & 0.99 * & ART: 23.5 \(\pm\) 2.2 s \\  & FPR: 3.9 \(\pm\) 0.3\% & & FPR: 3.9 \(\pm\) 0.3\% & & FPR: 3.9 \(\pm\) 0.3\% \\ \hline \multirow{3}{*}{\(5\times 10^{-3}\)} & RE: 87.9 \(\pm\) 1.7\% & & RE: 88.7 \(\pm\) 1.6\% & & RE: 88.8 \(\pm\) 1.6\% \\  & ART: 25.1 \(\pm\) 2.4 s & 256 & ART: 23.9 \(\pm\) 2.3 s & 0.97 & ART: 23.8 \(\pm\) 2.2 s \\  & FPR: 4.3 \(\pm\) 0.4\% & & FPR: 4.0 \(\pm\) 0.3\% & & FPR: 4.0 \(\pm\) 0.3\% \\ \hline \multirow{3}{*}{\(1\times 10^{-2}\)} & RE: 84.5 \(\pm\) 1.9\% & & RE: 87.5 \(\pm\) 1.8\% & & RE: 88.5 \(\pm\) 1.7\% \\  & ART: 27.4 \(\pm\) 2.5 s & 512 & ART: 24.8 \(\pm\) 2.4 s & 0.999 & ART: 24.0 \(\pm\) 2.3 s \\ \cline{1-1}  & FPR: 4.8 \(\pm\) 0.5\% & & FPR: 4.3 \(\pm\) 0.4\% & & FPR: 4.0 \(\pm\) 0.4\% \\ \hline \end{tabular}  
* Indicates default values used in our experiments.  
\end{table} 
Table 6: Hyperparameter sensitivity analysis results. efficient resource utilization, demonstrated through linear scaling of computational requirements, suggests that organizations can implement ARCS without significant infrastructure investments. The case studies further highlight ARCS's practical utility in handling real-world attack scenarios. The framework's effectiveness in responding to phishing campaigns (94.2% success rate) and ransomware attacks (89.7% prevention rate) demonstrates its capability to protect against the most prevalent cyber threats facing organizations today. Moreover, the system's adaptive response to APT attacks showcases its ability to handle sophisticated, evolving threats that traditional security measures often fail to detect. The dual-stream architecture's ability to balance immediate response with strategic planning addresses a fundamental challenge in cybersecurity operations, i.e., the need to respond quickly to immediate threats while maintaining a coherent long-term defense strategy.