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GameSec 2026: Conference on Game Theory and AI for Security

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GameSec
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투고 마감일:
2026-06-12
통보일:
2026-07-31
개최일:
2026-10-26
개최지:
Ann Arbor, Michigan, USA
개최 횟수:
17
조회: 29338   팔로우: 4   참가: 2

회반 지수 (CP-I)

50.7 / 100
전체 5,682개 중 1,422위 · 상위 26%

이론·알고리즘 분야 142개 중 66위 보안·프라이버시 분야 360개 중 96위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
78
커뮤니티 관심도 (10%)
24
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 17 · 회반에서 팔로우 중인 연구자: 4명 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-16

논문 모집

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
최종 수정: Dou Sun ()

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AArtificial Intelligence4.6Elsevier0004-3702
International Journal of Game Theory and TechnologyAIRCC2455-0892
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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