Submission deadline: UPDATED  November 27, 2018!

IMPORTANT DATES

The Symposium will include paper presentations and a panel discussion. 

​The Symposium will be part of HICSS-52 at the Hilton Waikoloa Village Resort on the Big Island. 

 SYMPOSIUM FORMAT

• ​Submissions Due: UPDATED November 27, 2018
• Acceptance Notification: December 7, 2018
  
• HICSS Symposium, January 8, 2019
  

 SYMPOSIUM OBJECTIVE

 REVIEW PROCESS

Papers should be emailed to AZSecure-HICSS@list.arizona.edu. Authors of accepted papers will present their work during the Symposium. Due to the limited time available, short papers will have 15 minutes to present and long papers 20 minutes.

​​While there has been a great deal of discussion around “Big Data” lately, including how it can revolutionize cybersecurity, actual research is limited. This Symposium seeks to let practitioners and academics present emerging cybersecurity big data research and challenges in domains such as data collection and processing, data analytics, data handling, machine learning, and visualization; as well as to present and discuss potential cybersecurity big data research topics and methodologies of interest to the cybersecurity community.Topics related to data include areas such as logs, network traffic data (PCAP), system process data, system memory data, and even complete virtualized system snapshots. Analytics topics include, but are not limited to, methodologies, techniques, and impacts of real-time processing for incident detection and/or prevention, data review for incident and anomaly detection, post incident response analytics, and IT audit related analytics. Data handling covers research and case studies into process and procedures. Visualization will look at all aspects of research related to visualizing the data, such as temporal, geographical, threat, actor, event based, and other data types. Automated machine covers all forms that leverage or require Big Data for support, including defensive measures and potential threat applications.​​

SUBMISSION FORMAT

HICSS Symposium on Cybersecurity Big Data Analytics

Authors may submit long papers (up to 8 pages) or short papers (up to 4 pages) for presentation.

Submission should follow the IEEE double-column format: for information and instructions, see the IEEE publications page at http://www.ieee.org/conferences_events/conferences/publishing/templates.html (link opens in new window).  Submission format is PDF.

CALL FOR PAPERS

Past HICSS Symposium Papers

   HICsS 52 2019

• 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.
  

   HICss 51 2018

• 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. 

   hicss 50 2017

• 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.