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IEEE ISI 2021 : IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2021)


When Nov 2, 2021 - Nov 3, 2021
Where San Antonio, Texas USA
Submission Deadline Aug 28, 2021
Notification Due Oct 1, 2021
Final Version Due Oct 15, 2021
Categories    information security   computer security   network security   security analytics

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.


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 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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