[AISWorld] HICSS 2021 "Machine Learning and Cyber Threat Intelligence and Analytics Minitrack"

[Raymond Choo]

https://hicss.hawaii.edu/tracks-54/software-technology/#machine-learning-and-cyber-threat-intelligence-and-analytics-minitrack

*HICSS 2021 "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.

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unpublished, original, state-of-the-art research, and not currently under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 are 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

Important Dates for Paper Submission

July 15 — Papers due
August 15 — Reviews due
August 22 — Minitrack Chairs’ decisions due
August 23 — Notifications to authors
September 4 — Revision due for papers accepted with mandatory changes
September 10 — Minitrack Chairs’ final decisions due for papers with
mandatory changes
September 11 — Notifications to authors of revised papers
September 22 — Final manuscripts due
January 4 — Publications of full conference proceedings
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