[AISWorld] CfP: HICSS-55 "Machine Learning and Cyber Threat Intelligence and Analytics Minitrack"

[Raymond Choo]

HICSS-55 Call for Participation: Machine Learning and Cyber Threat
Intelligence and Analytics Minitrack
<https://hicss.hawaii.edu/tracks-55/software-technology/#machine-learning-and-cyber-threat-intelligence-and-analytics-minitrack>
https://hicss.hawaii.edu/tracks-55/software-technology/#machine-learning-and-cyber-threat-intelligence-and-analytics-minitrack

With the digitalization of things, a significant amount of data is
collected from different security monitoring solutions as well as systems
that were compromised or have been used to facilitate an attack (e.g. a
cloud server). Thus, advanced cyber threat intelligence and analytical
techniques (e.g. threat intelligence, big data and machine learning
techniques) are key to real-time detection and mitigation of cyber security
incidents, and to the collection and analysis of cyber security incident
related information. For example, one emerging research focus is cyber
threat intelligence and analytics, which seeks to integrate and deploy
different computing techniques such as big data analytics, sentiment
analysis, artificial intelligence and machine learning to perceive, reason,
learn and defend against advanced cyber attacks or advanced persistent
threats, as well as facilitating the collection, preservation and analysis
of evidence that may then be used to identify and prosecute the
perpetrators.

This minitrack will focus on cutting-edge research from both academia and
industry, with a particular emphasis on novel techniques and tools to
perceive, reason, learn and act on a wide range of data collected from
different attack (or attempts), sophisticated advanced persistent threat
campaigns, etc. Only theoretical and technical papers describing previously
unpublished, original, state-of-the-art research, and not currently under
review by a conference or a journal will be considered.

Topics of interest include but not limited to:

   - Blockchain and its application in cyber security
   - Detection and analysis of advanced threat actors tactics, techniques
   and procedures
   - Application of machine learning tools and techniques in cyber threat
   intelligence
   - Theories and models for detection and analysis of advanced persistent
   threats
   - Automated and smart tools for collection, preservation and analysis of
   digital evidences
   - Threat intelligence techniques for constructing, detecting, and
   reacting to advanced intrusion campaigns
   - Applying machines learning tools and techniques for malware analysis
   and fighting against cyber crimes
   - Intelligent incident response tools, techniques and procedures for
   contemporary technologies, such as cloud and cyber-physical systems
   - Intelligent analysis of different types of data collected from
   different layers of network security solutions
   - Threat intelligence in cyber security domain utilising big data
   solutions such as Hadoop
   - Intelligent methods to manage, share, and receive logs and data
   relevant to variety of adversary groups
   - Interpretation of cyber threat and forensic data utilising intelligent
   data analysis techniques
   - Infer intelligence of existing cyber security data generated by
   different monitoring and defence solutions
   - Automated and intelligent methods for adversary profiling
   - Automated integration of analysed data within incident response and
   cyber forensics capabilities

Minitrack Co-Chairs:

*Kim-Kwang Raymond Choo* (Primary Contact)
University of Texas at San Antonio
raymond.choo at utsa.edu

*Ali Dehghantanha*
University of Guelph
adehghan at uoguelph.ca

*Glenn Dietrich*
University of Texas at San Antonio
Glenn.Dietrich at utsa.edu


Important Dates

April 15               Paper submission system reopened for HICSS-55
June 15                Papers due
August 17           Notification of Acceptance/Rejection
September 22   Deadline for Authors to Submit Final Manuscript for
Publication
October 1           Deadline for at least one author of each paper to
register for HICSS-55

HICSS papers emphasize advances in research and development activities in
several areas of the system sciences. Papers may be theoretical,
conceptual, tutorial, or descriptive in nature.

   - All papers must be submitted to a minitrack. Minitracks are part of our*
   12 larger tracks and an invited track
   <https://hicss.hawaii.edu/tracks-and-minitracks/>*. Make sure you
   understand the focus of a minitrack before submitting your paper to ensure
   you are submitting to the best possible fit for your research.
   - HICSS papers must contain original material. They may not be
   previously published, nor currently submitted elsewhere. You may contact
   the Minitrack Chair(s) or Track Chair for guidance or verification of
   content. If you are not sure of the appropriate Minitrack, submit a
   preliminary abstract to the Minitrack Chair(s) or Track Chair via email for
   determination.
   - Submit a paper to only one Minitrack. Submissions to more than one
   minitrack may result in rejection by either minitrack without consultation
   with author.
   - HICSS prohibits the addition of authors after initial
   submission/review, except in convincingly justified and extenuating
   circumstances. The Conference Chair must approve any additional names
   added. To seek approval, please send a written request to
   hicss at hawaii.edu.
   - Do not author or co-author more than 5 papers.

Acceptance is based on a strict peer review in a double-blind process from
June through August of each year. After a careful review by a special
committee in each track, Best Paper Awards are presented to the selected
paper from each track in recognition of their superior research performance.

For further information, please refer to https://hicss.hawaii.edu/authors/