Presentation of the System's Performance in Detecting Malicious Opcodes

Throughout the year 2023, our system was rigorously tested in real-world conditions to evaluate its effectiveness in detecting malicious opcodes within blockchain contracts. The results are promising and showcase the system's potential in enhancing blockchain security.

During this period, a total of 131 attacks were recorded in the blockchain ecosystem, as reported by Neura_Block's tweet (https://twitter.com/Neura_Block/status/1738123447983607845). Our system successfully identified 110 of these attacks, demonstrating a detection rate of 83.97%. This high success rate underscores the system's proficiency in analyzing and identifying potentially malicious activities within blockchain contracts.

The detection of 110 out of 131 total attacks represents a significant achievement for our system, indicating its robustness and effectiveness in real-time threat identification. These results highlight the system's potential to serve as a critical tool in the ongoing effort to secure blockchain environments against malicious exploits.

By continuously refining our algorithms and enhancing our data analysis techniques, we aim to further improve the system's detection capabilities. The ongoing learning process, coupled with an increasing understanding of threat patterns, positions our system as a formidable defense mechanism in the evolving landscape of blockchain security.