Minitrack Introduction: Cybersecurity in the Age of Artificial Intelligence, AI for Cybersecurity, and Cybersecurity for AI
被引:0
作者:
Patton, Mark
论文数: 0引用数: 0
h-index: 0
机构:
Univ Arizona, Tucson, AZ 85721 USAUniv Arizona, Tucson, AZ 85721 USA
Patton, Mark
[1
]
论文数: 引用数:
h-index:
机构:
Samtani, Sagar
[2
]
论文数: 引用数:
h-index:
机构:
Chen, Hsinchun
[1
]
Zhu, Hongyi
论文数: 0引用数: 0
h-index: 0
机构:
Univ Texas San Antonio, San Antonio, TX USAUniv Arizona, Tucson, AZ 85721 USA
Zhu, Hongyi
[3
]
机构:
[1] Univ Arizona, Tucson, AZ 85721 USA
[2] Indiana Univ, Indiana, PA USA
[3] Univ Texas San Antonio, San Antonio, TX USA
来源:
PROCEEDINGS OF THE 57TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES
|
2024年
关键词:
Cybersecurity;
Artificial Intelligence;
Machine Learning;
Deep Learning;
Collaboration;
Data Analytics;
Cybersecurity for Artificial Intelligence;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Cybersecurity and Artificial Intelligence (AI) are key domains whose intersection gives great promises and poses significant threats. Indeed, the National Academy of Science (NAS), the National Science Foundation (NSF), and oth ss er respected entities have noted the significant role that AI can play in cybersecurity, and the importance of ensuring the security of AI-enabled algorithms and systems. This minitrack focuses on AI and Cybersecurity that works in broader domains, collaborative inter-organizational realms, shared collaborative domains, or with collaborative technologies. The papers in this minitrack have the potential to offer interesting and impactful solutions to emerging areas, including unmanned aerial vehicles and open source software security.