人工智能时代计算机网络安全分析与对策

Yunpeng Lu
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引用次数: 0

摘要

随着人工智能技术的广泛应用,网络威胁也在不断发展。恶意攻击者越来越多地利用智能技术来加强攻击,导致网络安全挑战更加复杂。在这些挑战中,对抗性攻击和智能威胁尤为突出,而大规模数据泄露和隐私侵犯的风险也笼罩着个人和组织。本文提出了一套解决这些紧迫问题的策略。这些策略包括部署深度学习技术、保护数据隐私、传播自动化解决方案以及推进网络用户教育。此外,还强调了对抗性攻击和新兴技术研究的重要性,以及国际合作和信息共享的重要性,以确保面对不断变化的威胁时网络安全的弹性。这种全面的方法是保障网络用户的资讯安全,促进数码社会的繁荣和可持续发展的宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Countermeasures of Computer Network Security in the Age of Artificial Intelligence
With the widespread adoption of artificial intelligence technology, the landscape of network threats is continually evolving. Malicious attackers are increasingly leveraging intelligent technology to enhance their attacks, resulting in more intricate network security challenges. Among these challenges, antagonistic attacks and intelligent threats stand out, while the risk of large-scale data breaches and privacy infringements looms over both individuals and organizations. This paper proposes a set of strategies to address these pressing issues. These strategies encompass the deployment of deep learning technology, safeguarding data privacy, the dissemination of automation solutions, and the advancement of network user education. Furthermore, the importance of research into antagonistic attacks and emerging technologies, as well as the significance of international cooperation and information sharing, are underscored to ensure the resilience of network security in the face of evolving threats. This comprehensive approach serves as a valuable resource for safeguarding the information security of network users and fostering the prosperity and sustainable development of our digital society.
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