Información de la conferencia

GameSec 2026: Conference on Game Theory and AI for Security

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GameSec
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Día de Entrega:
2026-06-12
Fecha de Notificación:
2026-07-31
Fecha de conferencia:
2026-10-26
Ubicación:
Ann Arbor, Michigan, USA
Ediciones:
17
Vistas: 29340   Seguidores: 4   Asistentes: 2

Índice Conference Partner (CP-I)

50,7 / 100
Puesto n.º 1.422 de 5.682 congresos · 26% superior

N.º 66 de 142 en Teoría y algoritmos N.º 96 de 360 en Seguridad y privacidad

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
78
Atención de la comunidad (10%)
24
Integridad del registro público (15%)
35

Datos utilizados: Ediciones documentadas: 17 · Investigadores que lo siguen aquí: 4 · Investigadores que abrieron esta página en los últimos 24 meses: 2

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-16

Solicitud de Artículos

GameSec 2026 (Conference on Game Theory and AI for Security) is an academic conference held in Ann Arbor, Michigan, USA on 2026-10-26. The paper submission deadline is 2026-06-12. Acceptance notifications are sent on 2026-07-31.

Conference Topics Indicative topics, but not exhaustive, are listed below, and the conference welcomes a broad range of contributions exploring the intersection of game theory, AI, and security. Stackelberg and Bayesian games for cybersecurity Mechanism design for secure and resilient systems Multi-agent security games and adversarial interactions Dynamic and repeated games in security applications Coalitional game theory for trust and privacy Evolutionary game theory in cyber defense Game-theoretic models for deception and misinformation detection Auction-based security mechanisms for resource allocation Nash equilibria in adversarial security settings Aggregative Games for security Adversarial machine learning and robust AI models Reinforcement learning for cyber defense strategies AI-driven risk assessment and threat intelligence Secure federated learning and privacy-preserving AI AI for zero-trust architectures and intrusion detection Explainable AI in security decision-making Large language models for cybersecurity applications AI-powered malware and phishing detection Automated penetration testing and ethical hacking using AI Game-theoretic approaches for securing IoT and edge computing Security strategies for autonomous systems and UAVs AI-driven attack detection in smart grids and critical infrastructures Secure network protocols and AI-powered anomaly detection Blockchain and game theory for decentralized security Cyber-physical system resilience through game-theoretic modeling Security strategies for smart cities and intelligent transportation systems AI-enhanced situational awareness in cyber-physical environments Incentive mechanisms for cybersecurity investments Human-in-the-loop security and behavioral game theory Trust and reputation models in decentralized systems AI-powered fraud detection in financial systems Privacy-aware mechanism design and data-sharing incentives Economic impact of cyber threats and attack mitigation strategies Psychological and cognitive biases in security decision-making Red teaming and AI-generated attack simulations Robust AI models against adversarial perturbations AI-powered misinformation and propaganda detection Security challenges in generative AI and large language models Ethical AI and fairness in security decision-making AI for detecting and mitigating deepfake threats Secure AI model training and adversarial robustness testing Reinforcement learning under adversarial conditions Game-theoretic approaches to securing blockchain networks AI for decentralized identity and authentication management Security challenges in multi-agent and swarm intelligence systems Incentive-driven security solutions for distributed systems AI-powered smart contract verification and fraud detection Secure consensus mechanisms in blockchain and distributed ledgers AI-driven security in autonomous transportation Game theory for cloud security and access control AI-enhanced cyber resilience in government and military networks AI for misinformation mitigation in social networks AI and game theory applications in healthcare cybersecurity Security in quantum computing and post-quantum cryptography AI-powered cybersecurity solutions for industrial control systems AI in securing 5G/6G and next-generation communication networks
Última actualización por Dou Sun el

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