Paper Info
Title
ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics
Abstract
ABSTRACTDespite significant contributions to various aspects of cybersecurity, cyber-attacks remain on the unfortunate rise. Increasingly, internationally recognized entities such as the National Science Foundation and National Science & Technology Council have noted Artificial Intelligence can help analyze billions of log files, Dark Web data, malware, and other data sources to help execute fundamental cybersecurity tasks. Our objective for the 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics (half-day; co-located with ACM KDD) was to gather academic and practitioners to contribute recent work pertaining to AI-enabled cybersecurity analytics. We composed an outstanding, inter-disciplinary Program Committee with significant expertise in various aspects of AI-enabled Cybersecurity Analytics to evaluate the submitted work. Significant contributions to the half-day workshop were made in the areas of CTI, vulnerability assessment, and malware analysis.
Year
DOI
Venue
2021
10.1145/3447548.3469450
Knowledge Discovery and Data Mining
Keywords
DocType
Citations 
Cybersecurity, artificial intelligence, analytics, machine learning
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Sagar Samtani142.42
Shanchieh Yang252.18
Hsinchun Chen39569813.33