会议信息

CSNet 2026: Cyber Security in Networking Conference

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截稿日期:
2026-05-20
通知日期:
2026-06-30
会议日期:
2026-10-21
会议地点:
Nicosia, Cyprus
届数:
10
浏览: 21476   关注: 1   参加: 0

会伴指数 (CP-I)

47.4 / 100
全站第 2,190 名 / 共 5,684 个会议 · 前 39%

安全与隐私 第 133 / 360 网络与通信 第 327 / 864

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
65
社区关注 (10%)
17
资料公开度 (15%)
35

用到的输入: 有据可查的届次：10 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-23

征稿

CSNet 2026 (Cyber Security in Networking Conference) is an academic conference held in Nicosia, Cyprus on 2026-10-21. The paper submission deadline is 2026-05-20. Acceptance notifications are sent on 2026-06-30.

Since the first successful edition in Rio de Janeiro (Brazil, 2017) and all subsequent editions (2018 in Paris, 2019 in Quito, 2020 in Lausanne, 2021 in Abu Dhabi, 2022 in Rio de Janeiro, 2023 in Montreal, 2024 in Paris, and 2025 in Abu Dhabi) the CSNet conference has aimed to bring future visions for creating even greater value to all corners of the cybersecurity research society. This year, CSNet 2026 will center around the “Cybersecurity and Resilient Networking for Emerging Systems in AI Era” theme, focusing on advancing security and resilience in emerging networks and digital systems. This encompasses addressing the evolving challenges and opportunities associated with protecting next-generation technologies and ensuring the security and privacy of increasingly interconnected infrastructures. As digital ecosystems continue to expand in scale and complexity, strengthening cybersecurity foundations is essential to safeguarding critical services and sustaining trust in modern information systems. The growing interconnection of cloud platforms, edge environments, Internet of Things (IoT) deployments, mobile infrastructures, and cyber-physical systems has significantly transformed the threat landscape. Contemporary cybersecurity solutions must address sophisticated and persistent attacks while supporting scalability, reliability, and operational continuity. From proactive threat detection and risk assessment to adaptive defense mechanisms and resilient system architectures, modern approaches aim to enhance both the effectiveness and sustainability of security measures. These efforts contribute to the development of robust defense strategies capable of protecting digital infrastructures against increasingly advanced and coordinated cyber threats. Artificial Intelligence (AI) is reshaping both the defensive and offensive dimensions of cyberspace. On one hand, AI enables scalable threat detection, predictive analytics, automated response, and intelligent security orchestration. On the other, AI systems themselves are increasingly targeted through adversarial attacks, model manipulation, data poisoning, and privacy leakage. This dual role of AI—as both a security enabler and a security target—demands rigorous research at the intersection of machine learning, system security, cryptography, privacy engineering, and governance. Bringing together researchers and industry professionals at CSNet 2026 is essential for creating a secure digital future. Collaboration between academia and industry is vital to driving innovation and ensuring that theoretical research translates into practical, real-world applications. Researchers bring cutting-edge ideas and theoretical insights, while industry professionals provide practical perspectives and highlight the pressing challenges faced in real-world scenarios. Together, they can forge new pathways and develop comprehensive solutions that address both current and future cybersecurity challenges. CSNet 2026 seeks contributions in the cybersecurity field, raising footprints with tremendous impact in many sectors of society (e.g., development, innovation, teaching, and practice) in the form of full papers, short papers, posters, demos, work-in-progress papers, and tutorials. We are particularly interested in innovative solutions and breakthrough ideas that can shape the future landscape of cybersecurity. Authors are welcome to submit original papers (not published before and/or not simultaneously submitted to another venue) with topics that include but are not limited to: Advanced AI for Cybersecurity AI-based Cybersecurity for Next-Generation Technologies Challenges and Opportunities in AI-driven Security Emerging AI Threats and Countermeasures Privacy Preservation in AI-driven Security Privacy-preserving AI for Surveillance and Monitoring Cognitive Security and Adaptive Defense Mechanisms Advanced Deep Learning Techniques for Cyber Defense Blockchain Cloud Security Cognitive Cyber Security Cyber-attacks & defense Cyber-Physical System (CPS) Security Cybersecurity and Human Rights Data Center Network Control, Security, and Optimization Decentralized Security Resilient Networks and Systems Secure Protocol Design and Key Management Secure Architecture Design Secure Network Design Security Policies Design Security for the Internet of Things Security in Fog/edge Computing AI-driven Intrusion Detection and Prevention Systems AI-driven Security Monitoring and Anomaly Detection Cyber Threat Intelligence and Information Sharing AI-based Cybersecurity for IoT and Fog/edge Computing Adversarial Machine Learning and AI Security AI for Cyber Resilience and Incident Response Strategies AI for Biometric Security AI for Secure Software Development and DevSecOps AI-enabled Threat Hunting and Cyber Forensics AI-enabled Ethical Hacking AI for Blockchain Technology AI-based Secure Cloud Computing and Data Protection AI-based Cybersecurity in Smart Cities/Grids and Urban Environments AI for Secure Authentication and Access Control Mechanisms AI-powered Threat Modeling and Risk Assessment AI-driven Security Automation and Orchestration Secure AI Model Training and Adversarial Mitigation AI-driven Security Operations Center (SOC) Secure Federated Learning Federated Learning cybersecurity solutions LLM-based Anomaly Detection LLM-based Malware Detection and Classification Secure Deployment of LLM-based Security Solutions AI for Hardware-Based Attacks AI-based Vulnerability Assessment and Patch Prioritization Zero-Day Attack Detection Using AI-based Techniques Ethical and Regulatory Considerations in AI-based Security Reinforcement Learning-based Cybersecurity Solutions Human-AI collaboration in Security Operation Centers (SOC) Submitted papers are encouraged to address novel technical challenges or industrial and standard aspects of the key technologies for sustainable and intelligent AI cybersecurity solutions
由 Dou Sun 最后更新于

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CCF全称影响因子出版商ISSN
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