The Mini-Track will be part of HICSS 57 at the Hilton Hawaiian Village Waikiki Beach Resort January 3-6, 2024.
Conference Website: https://hicss.hawaii.edu/
Submission deadline June 15: Paper Submission Deadline (11:59 pm HST)
Cybersecurity and Artificial Intelligence (AI) are key domains whose intersection gives great promises and poses significant threats. The nature of AI and Cybersecurity encompasses many domains. While some perspectives are narrowly focused (e.g., point solutions inside an organization identifying threats in a network stream), many are very sweeping and are either collaborative or tackle collaborative domains (e.g., identifying intentional or unintentional cybersecurity threats propagating across collaboration platforms). Indeed, enhancing our capabilities in AI for cybersecurity has been noted as a key national priority by significant entities such as the National Science Foundation, the National Science Technology Council, and the National Academies of Science.
Implementing AI and Cybersecurity can also be internal to an organization or broadly collaborative (e.g., organizations working and competing together in adversarial AI research). Conversely, cybersecurity for AI has point solutions internal to organizations and broadly collaborative domains (e.g., collaboratively protecting from adversarial examples in shared data sets or shared models with multi-organizational transfer learning). However, the range and scope of how AI could be used for cybersecurity and how to improve the cybersecurity of AI remain relatively understudied yet critically important areas.
This minitrack seeks to focus on AI and Cybersecurity that works in broader domains, collaborative inter- organizational realms, shared collaborative domains, or with collaborative technologies. The threats being addressed with and/or to AI are intended to be sweeping in nature and of significant societal impact. Broadly, the topics and research areas include, but are not limited to:
Mini-Track Description
Presented by Dr. Hsinchun Chen, Regents' Professor and Thomas R. Brown Chair of MIS, Director, Artificial Intelligence Laboratory, University of Arizona
Dr. Mark Patton, Senior Lecturer in MIS, Program Administrator, AZSecure Cybersecurity Fellowship Program, University of Arizona
Dr. Sagar Samtani, Assistant Professor and Grant Thornton Scholar, Indiana University
REVIEW PROCESS
Papers will be submitted to the HICSS-57 Paper submission link no later then June 15th.
Authors Link: https://hicss.hawaii.edu/authors/
HICSS-CMS Link: https://hicss-submissions.org/
(opens April 15th)
Conference Information
CALL FOR PAPERS
HICSS format (i.e., double-column, single spaced, no more than 10 pages including references, tables, etc.) please visit the HICSS Authors link for detailed information
HICSS Authors Link: https://hicss.hawaii.edu/authors/
E. Choma, & R. Frank. "Geographic distribution and content analysis of targets on five hacking-focused online discussion forums." HICSS Symposium on Cybersecurity Big Data Analytics, 2019.
C. Joslyn, S. Aksoy, D. Arendt, L. Jenkins, B. Praggastis, E. Purvine, M. Zalewski. "High Performance Hypergraph Analytics of Domain Name System Relationships." HICSS Symposium on Cybersecurity Big Data Analytics, 2019.
N. Munaiah, J. Pelletier, S. Su, S. Jay Yang, A. Meneely. "A Cybersecurity Dataset Derived from the National Collegiate Penetration Testing Competition." HICSS Symposium on Cybersecurity Big Data Analytics, 2019.
J. Acosta, M. Akbar, & A. Fielder. "Comprehensive Data Analytics for Threat Detection." HICSS Symposium on Cybersecurity Big Data Analytics, 2018.
C. Gardner, A. Waliga, D. Thaw, S. Churchman. "Using Camouflaged Cyber Simulations as a Model to Ensure Validity in Cybersecurity Experimentation." HICSS Symposium on Cybersecurity Big Data Analytics, 2018.
N. Mogire, R.K. Minas, & M.E. Crosby. "Automatically Unaware: Using Data Analytics to Detect Physiological Markers of Cybercrime." HICSS Symposium on Cybersecurity Big Data Analytics, 2018.
M. DeYoung, R. Marchany, & J. Tront. "Network Security Data Analytics for Logged Events." HICSS Symposium on Cybersecurity Big Data Analytics, 2017.
C. Hicks, & N. Beebe. "Labeling the National Collegiate Cyber Defense Competition Dataset for Cybersecurity Research." HICSS Symposium on Cybersecurity Big Data Analytics, 2017.
L. Kaati, T. Isbister, & K. Cohen. "Gender Classification with Data Independent Features in Multiple Languages." HICSS Symposium on Cybersecurity Big Data Analytics, 2017.
M. Salman, B. Welch, J. Tront, D. Raymond, R. Marchany. "Designing PhelkStat: Big Data Analytics for System Event Logs." HICSS Symposium on Cybersecurity Big Data Analytics, 2017.
B. Walls. "A Look at Data Feature Extraction and Classification Techniques for Predicting Botnet Assaults." HICSS Symposium on Cybersecurity Big Data Analytics, 2017.