论文标题
AAAI 2022的网络安全（AICS）研讨会的人工智能论文集
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
论文作者
论文摘要
研讨会将重点介绍AI在网络安全方面的问题。网络系统产生大量数据，有效地利用这一数据超出了人类的能力。此外，对手继续发展新的攻击。因此，需要AI方法来了解和保护网络域。这些挑战在企业网络中得到了广泛的研究，但是在研究和实践中存在许多差距以及其他领域的新问题。 通常，在现实世界中，AI技术仍未被广泛采用。 Reasons include: (1) a lack of certification of AI for security, (2) a lack of formal study of the implications of practical constraints (e.g., power, memory, storage) for AI systems in the cyber domain, (3) known vulnerabilities such as evasion, poisoning attacks, (4) lack of meaningful explanations for security analysts, and (5) lack of analyst trust in AI solutions.研究界需要针对这些实际问题开发新颖的解决方案。
The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities. Additionally, adversaries continue to develop new attacks. Hence, AI methods are required to understand and protect the cyber domain. These challenges are widely studied in enterprise networks, but there are many gaps in research and practice as well as novel problems in other domains. In general, AI techniques are still not widely adopted in the real world. Reasons include: (1) a lack of certification of AI for security, (2) a lack of formal study of the implications of practical constraints (e.g., power, memory, storage) for AI systems in the cyber domain, (3) known vulnerabilities such as evasion, poisoning attacks, (4) lack of meaningful explanations for security analysts, and (5) lack of analyst trust in AI solutions. There is a need for the research community to develop novel solutions for these practical issues.
