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<p>With the increasing sophistication and diversification of cyber attack methods, traditional computer security detection approaches have become inadequate to meet modern information systems’ stringent security requirements. This has driven the emergence of computer security detection assistance technologies, which employ algorithms and tools to conduct comprehensive and in-depth system evaluations, enabling timely identification of potential vulnerabilities and threats. As a unique form of folk art, Jiangnan-style stove paintings face challenges in preservation and inheritance. Their digital protection requires modern technological solutions. The research adopted high-resolution spectral sensing technology for image digitization of stove paintings, utilized image restoration algorithms to repair damaged images, and integrated low-carbon energy technologies to reduce energy consumption. Through computer security detection assistance systems, the entire digital protection framework is monitored and safeguarded to ensure data security and integrity. Experimental results demonstrate that the low-carbon energy-powered digital protection system effectively reduces energy usage while maintaining high image quality. The image restoration algorithm exhibited excellent performance during repair processes, particularly excelling in handling small and large-scale damage areas with superior restoration outcomes. The application of computer security detection assistance technology has significantly enhanced system security, reducing risks of data loss and tampering.</p>

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Computer security detection assisted furnace drawing digital virtual art system based on digital image technology and machine learning

  • 期刊论文

  • 发表日期：

    2026年5月19日

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  • Dakang Feng,
  • Lizhi Fei,
  • Momo Feng,
  • Ruiyang Chao

摘要

With the increasing sophistication and diversification of cyber attack methods, traditional computer security detection approaches have become inadequate to meet modern information systems’ stringent security requirements. This has driven the emergence of computer security detection assistance technologies, which employ algorithms and tools to conduct comprehensive and in-depth system evaluations, enabling timely identification of potential vulnerabilities and threats. As a unique form of folk art, Jiangnan-style stove paintings face challenges in preservation and inheritance. Their digital protection requires modern technological solutions. The research adopted high-resolution spectral sensing technology for image digitization of stove paintings, utilized image restoration algorithms to repair damaged images, and integrated low-carbon energy technologies to reduce energy consumption. Through computer security detection assistance systems, the entire digital protection framework is monitored and safeguarded to ensure data security and integrity. Experimental results demonstrate that the low-carbon energy-powered digital protection system effectively reduces energy usage while maintaining high image quality. The image restoration algorithm exhibited excellent performance during repair processes, particularly excelling in handling small and large-scale damage areas with superior restoration outcomes. The application of computer security detection assistance technology has significantly enhanced system security, reducing risks of data loss and tampering.