Call for Speakers

AI-Driven and Model-Driven Sustainable Security Confidence in Modern Computing Systems and Critical Infrastructures

Modern computing systems and critical infrastructures increasingly combine software, networks, intelligent algorithms, cloud and edge services, operational technology and physical processes. These include cyber-physical systems, IoT and Industrial IoT, digital twins, autonomous and robotic systems, smart grids, connected transport, healthcare technologies, manufacturing, telecommunications and water systems.

This event will examine how sustainable security confidence can be established, quantified, communicated and continuously maintained throughout the system lifecycle using model-driven, AI-driven and hybrid approaches. Particular attention will be given to security assurance, testing, operational technology, risk management, sustainability by design, sustainability through monitoring and resilience at design time and runtime.

Model-Driven Sustainable Security Confidence

  • Formal models, security assurance cases and evidence-based arguments
  • Model-based security engineering, testing and verification
  • Digital twins, simulation and cyber-physical system modelling
  • Quantitative, probabilistic and risk-based confidence measures
  • Sustainability-by-design in systems and infrastructure architectures
  • Secure, maintainable, adaptable and upgradeable system design
  • Safety-security-sustainability co-engineering
  • Modelling infrastructure interdependencies and cascading failures
  • Resilience-by-design, graceful degradation and recovery modelling
  • Lifecycle assurance for legacy and long-lived infrastructures

AI-Driven Sustainable Security Confidence

  • AI-supported threat detection, security testing and risk assessment
  • Machine learning for anomaly detection and runtime assurance
  • AI-assisted generation and evaluation of security evidence
  • Explainable and trustworthy AI for cybersecurity decisions
  • Adaptive and resource-efficient security monitoring
  • Sustainability through monitoring of energy, carbon and computational costs
  • Risk-aware monitoring across cloud, edge, IoT and operational technology
  • Predictive resilience, incident forecasting and adaptive response
  • Confidence assessment under uncertainty, incomplete data and evolving threats
  • Security and resilience of AI-enabled and autonomous infrastructures

Critical-Infrastructure Security and Resilience

  • Protection of energy, transport, water, healthcare, telecommunications and manufacturing systems
  • IT-OT convergence and cyber-physical attack propagation
  • Cross-sector dependencies and cascading infrastructure disruption
  • Continuity of essential services during cyber incidents
  • Climate-related, environmental and operational threats
  • Secure and resilient infrastructure supply chains
  • Recovery, restoration and adaptive incident response
  • Measurement and communication of resilience and residual risk
  • Governance, regulation, compliance and legal accountability
  • Public confidence in essential digital and physical services

Cross-Cutting Themes

  • Continuous assurance and dynamic security confidence
  • Sustainable security operations and responsible technology renewal
  • Integration of model-driven and AI-driven evidence
  • Certification, standards, regulation and compliance
  • Human factors, organisational culture and operator decision-making
  • Secure and sustainable software, hardware and supply chains
  • Balancing security, safety, resilience, performance, cost and environmental impact
  • Risk communication, transparency and public trust
  • Research roadmaps, collaborative projects and special interest groups

Speakers and Contributions

We welcome speakers from academia, industry, government, critical-infrastructure operations, regulation, compliance, engineering, law, risk and assurance, human factors, standards and certification, and related professional communities.

Suitable contributions include:

  • Research presentations and position papers
  • Industrial and operational case studies
  • Technical demonstrations, tools and testbeds
  • Government, policy and regulatory perspectives
  • Legal, compliance, audit and assurance analyses
  • Incident lessons, resilience practices and recovery experience
  • Panel contributions and strategic challenge statements
  • Proposals for collaborative projects or special interest groups

Speaker proposals should explain:

  • The research, operational or policy problem being addressed
  • The relevant modern computing system or critical-infrastructure context
  • The model-driven, AI-driven or hybrid approach adopted
  • The evidence used to establish or sustain security confidence
  • The main findings, limitations and practical lessons
  • The implications for research, industry, governance, regulation or practice
  • Opportunities for future collaboration, deployment or standardisation

Speaker Submission Requirements

  • Presentation title
  • Abstract of approximately 250-300 words
  • Name, role and institutional affiliation
  • Short biography of approximately 100 words
  • Preferred contribution format
  • Relevant sector or disciplinary perspective
  • Accessibility or technical requirements

Event date: [Insert date]

Venue: [Insert venue or online platform]

Speaker submission deadline: [Insert date]

Submission link: [Insert link]

Contact: [Insert name and email]

Organiser: [Insert institution, centre or project]

The event aims to identify research and operational gaps, compare model-driven, AI-driven and hybrid methodologies, strengthen collaboration and contribute to a longer-term roadmap for sustainable and resilient security confidence in modern computing systems and critical infrastructures.