-------- Forwarded Message -------- Subject: [AISWorld] CfP: HICSS-55 "Machine Learning and Cyber Threat Intelligence and Analytics Minitrack" Date: Thu, 18 Mar 2021 11:05:53 -0500 From: Raymond Choo raymond.choo@fulbrightmail.org To: aisworld@lists.aisnet.org
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...
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 Only theoretical and technical papers describing previously unpublished, original, state-of-the-art research, and not currently under review by a conference or a journal will be considered.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@utsa.edu
*Ali Dehghantanha* University of Guelph adehghan@uoguelph.ca
*Glenn Dietrich* University of Texas at San Antonio Glenn.Dietrich@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@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/ _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org