This DSAA 2022 special session focuses on development and application of Data Science and analytics techniques to solve cyber and national security threats.
National security protects the country against substantial physical and psychological threats to our government; public safety; environment; or energy, food, and fiscal infrastructures. Terrorism, misinformation, and cyberattacks are common examples which are among the top 26 national security threats America is currently facing. Data-driven security is an emerging interdisciplinary area that focuses on researching and applying data science to solve national security problems. For instance, it deals with applying social network analysis and game theory for bad actor detection and counter-attack in crime, terrorist, and nuclear proliferation networks; using data science to reduce the spread of misinformation which is responsible for manipulating opinions and public response; integrating data science and analytics into cybersecurity for meeting the cybersecurity challenges of processing large data sets in order to gain valuable insights and reduce cybersecurity risks.
Topics include (but are not limited to):
Malicious actor detection in social media;
Cyber threat intelligence (e.g., models for cyber threat intelligence, malware analysis,
intrusion detection, botnet detection);
Cybercrime analysis, intelligence and security;
Big crime data science algorithms and open source situational awareness (e.g.,
terroristic and crime network analysis);
Misinformation and hate speech detection and mitigation;
Data-driven cyber knowledge base development;
Data Science to demonstrate cyber weakness (e.g., side channel attacks);
Robustness and interpretability in ML for security tasks (e.g., adversarial machine
learning).
Special Session Paper Submission Deadline June 30, 2022 (Extended)
Special Session Paper Notification July 31, 2022
Camera ready submission August 15, 2022
Paper preparation Instructions
Submission instructions
Login and enter DSAA conference in CMT3. Website: : https://cmt3.research.microsoft.com/DSAA2022
Click the "Create new submission" button and then "Special Sessions".
Enter your paper information and select "Data Science for Cyber and National Security" as the subject area.
Computer Science Dept.
Boise State University (USA)
Computer Science Dept.
Boise State University (USA)
This special session was also supported by NSF: Capacity Building: Integrating Data Science into Cybersecurity Curriculum (1820685)