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IEEE ISI 2021 : IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2021) | |||||||||||||||
Link: http://www.isi-conf.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
We are excited to welcome participants to the 19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI). This year's conference will be held in San Antonio, Texas USA on November 2-3, 2021.
IMPORTANT DATES: Submission Deadline: August 28, 2021 Notification of Acceptance to Authors: October 1, 2021 Camera-ready Deadline: October 15, 2021 Conference: November 2-3, 2021 Intelligence and security informatics (ISI) is an interdisciplinary field involving academic researchers in information technology, social and behavioral sciences, computer science, law, and public policy. The field also includes industry consultants, practitioners, security managers, and chief information security officers who support physical and cybersecurity missions at the individual, organizational, national, and international levels (e.g., anticipation, interdiction, prevention, preparedness, and response to threats). Over the past 18 years, the IEEE ISI Conference has evolved from its traditional orientation towards the intelligence and security domain to a more integrated alignment of multiple domains, including technology, humans, organizations, and security. The scientific community has increasingly recognized the need to address intelligence and security threats by understanding the interrelationships between these different components, and by integrating recent advances from different domains. Submission Guidelines We invite academic researchers in the field of Intelligence and Security Informatics and related areas as well as IT, security, and analytics professionals, intelligence experts, and industry consultants and practitioners in the field to submit papers and workshop proposals. ISI 2021 submissions may include empirical, behavioral, systems, methodology, test-bed, modeling, evaluation, and policy papers. Research should be relevant to informatics, organizations, public policy, or human behavior in applications of security or protection of local/national/international security in the physical world, cyber-physical systems, and/or cyberspace. All papers must be original and not simultaneously submitted to another journal or conference. Each manuscript must clearly articulate their data (e.g., key metadata, statistical properties, etc.), analytical procedures (e.g., representations, algorithm details, etc.), and evaluation set up and results (e.g., performance metrics, statistical tests, case studies, etc.). Making data, code, and processes publicly available to facilitate scientific reproducibility is not required, but is strongly encouraged. We accept three types of paper submissions on proposed tracks and related topics: long paper (maximum of 6 pages), short paper (maximum of 3 pages), and poster (1 page). The submission format is PDF. The accepted paper will be presented by an IEEE member. Consult the IEEE publications page at https://www.ieee.org/conferences/publishing/templates.html for formatting information. Papers will be submitted through the EasyChair submission and review system. The accepted papers from ISI 2021 and its affiliated workshops will be published by the IEEE Press in formal proceedings. List of Topics Security Analytics and Threat Intelligence Threat pattern models and modeling tools Real-time situational awareness Intrusion and cybersecurity threat detection and analysis Cyber-physical-social system security and incident management Computing and networking infrastructure protection Crime analysis and prevention Forecasting threats and measuring the impact of threats Surveillance and intelligence through unconventional means Information security management standards Information systems security policies Mobile and cloud computing security Big data analytics for cybersecurity Machine learning for cybersecurity Artificial Intelligence for cybersecurity Resilient Cyber Infrastructure Design and Protection Data science and analytics in security informatics Data representation and fusion for security informatics Criminal/intelligence information extraction Data sharing and information visualization for security informatics Web-based intelligence monitoring and analysis Spatial-temporal data analysis for crime analysis and security informatics Criminal/intelligence machine learning and data mining Cyber attack and/or bio-terrorism tracking, alerting, and analysis Digital forensics and computational criminology Financial and accounting fraud analysis Consumer-generated content and security-related social media analytics Security-related social network analysis (radicalization, fund-raising, recruitment, conducting operations) Authorship analysis and identification Security-related analytical methodologies and software tools Human Behavior and Factors in Security Applications Behavior issues in information systems security HCI and user interfaces of relevance to intelligence and security Social impacts of crime, cybercrime, and/or terrorism Board activism and influence Measuring the effectiveness of security interventions Citizen and employee education and training Understanding user behavior such as compliance, susceptibility, and accountability Security risks related to user behaviors/interactions with information systems Human behavior modeling, representation, and prediction for security applications Organizational, National, and International Security Applications Best practices in security protection Information sharing policy and governance Privacy, security, and civil liberties issues Emergency response and management Disaster prevention, detection, and management Protection of transportation and communications infrastructure Communication and decision support for research and rescue Assisting citizens' responses to cyber attacks, terrorism, and catastrophic events Accounting and IT auditing and fraud detection Corporate governance and monitoring Election fraud and political use and abuse Machine learning for the developing world Artificial Intelligence methods and applications for humanitarian efforts |
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