The 1st International Workshop on Adaptive Cyber Defense was held as part of the 2021 International Joint Conference on Artificial Intelligence. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (ML) as foundational capabilities for the pursuit of adaptive cyber defense. The cyber domain cannot currently be reliably and effectively defended without extensive reliance on human experts. Skilled cyber defenders are in short supply and often cannot respond fast enough to cyber threats. Building on recent advances in AI and ML the Cyber defense research community has been motivated to develop new dynamic and sustainable defenses through the adoption of AI and ML techniques to both cyber and non-cyber settings. Bridging critical gaps between AI and Cyber researchers and practitioners can accelerate efforts to create semi-autonomous cyber defenses that can learn to recognize and respond to cyber attacks or discover and mitigate weaknesses in cooperation with other cyber operation systems and human experts. Furthermore, these defenses are expected to be adaptive and able to evolve over time to thwart changes in attacker behavior, changes in the system health and readiness, and natural shifts in user behavior over time. The Workshop (held on August 19th and 20th 2021 in Montreal-themed virtual reality) was comprised of technical presentations and a panel discussion focused on open problems and potential research solutions. Workshop submissions were peer reviewed by a panel of domain experts with a proceedings consisting of 10 technical articles exploring challenging problems of critical importance to national and global security. Participation in this workshop offered new opportunities to stimulate research and innovation in the emerging domain of adaptive and autonomous cyber defense.
翻译:作为2021年人工智能国际联合会议的一部分,举办了关于适应性网络防御的第一次国际讲习班,作为2021年国际人工智能联合会议的一部分,举办了这次讲习班,以分享研究,探讨人工智能和机器学习作为适应性网络防御基础能力的独特应用;目前,网络领域无法可靠和有效地维护,除非广泛依赖人类专家,否则网络领域目前无法可靠和有效地维护;熟练网络防御人员供应短缺,往往无法对网络威胁作出足够迅速的反应;根据AI和ML的最新进展,网络防御研究界通过采用AI和ML技术,在网络和非网络环境中开发新的动态和可持续的防御;弥合AI和机器学习之间的关键差距,作为追求适应性网络防御的基础;缩小AI和网络研究人员和从业人员之间的重大差距,可以加快努力,创建半自主的网络防御,以便在与其他网络操作系统和人类专家的合作中学会认识和应对网络攻击或发现和减轻弱点;此外,这些防御应具有适应性,并能够随着时间的变化,通过采用AI和ML技术科技技术技术技术技术技术技术技术技术技术技术技术技术技术技术技术技术技术技术技术来发展新的防御行为;8月19和2021期间,以虚拟研究领域研究领域研究领域辩论小组审查了本次讲习班,并审查了当前技术领域技术领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域,以新的研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域2021研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域研究领域问题。