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CSNet 2024 : 8th Cyber Security in Networking Conference


When Dec 4, 2024 - Dec 6, 2024
Where Paris, France
Submission Deadline Aug 10, 2024
Notification Due Sep 10, 2024
Final Version Due Sep 20, 2024
Categories    communications   cyber security   AI   LLM

Call For Papers


CSNet 2024

8th Cyber Security in Networking Conference

December 4 - 6, 2024 // Paris, France


Full and short paper submissions deadline: August 10, 2024

On behalf of the CSNet 2024 Committee, we are pleased to welcome you all to its 8th edition on December 4 – 6, 2024, hosted in the wonderful city of Paris, France.
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 (again), and 2023 in Montreal), 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 2024 will center around the “Artificial Intelligence (AI) for Cybersecurity” theme, focusing on its applications in emerging networks and systems. This encompasses addressing the Challenges and Opportunities of AI to reinforce security and privacy in Next-Generation Technologies. The integration of AI into cybersecurity is a crucial advancement, as it offers the potential to revolutionize how we protect and secure digital infrastructure.
AI has shown remarkable capabilities in automating and enhancing various aspects of cybersecurity. From predictive analytics that anticipate cyber threats to intelligent systems that detect and mitigate attacks in real-time, AI-driven solutions are becoming indispensable. These technologies not only improve the efficiency and effectiveness of security measures but also adapt to the evolving threat landscape, providing robust defense mechanisms against increasingly sophisticated cyber attacks.
Bringing together researchers and industry professionals at CSNet 2024 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 2024 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.

The CSNet 2024 conference program will be split into the following topics:

• 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
• 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

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

Submission Guidlines:

Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published.

All submissions should be written in English with maximum of eight (8) printed pages (in Two-Column IEEE Conference Format), including text, figures and references for full papers and with maximum of four (4) printed pages for short papers

Papers should be submitted through EDAS at:

Best papers will be considered for fast-track publication in the Annals of Telecommunications (Springer, ISI-indexed)


Important Dates:
• Full and short paper submissions deadline: August 10, 2024
• Notifications of acceptance: September 10, 2024
• Camera-ready submissions: September 20, 2024


TPC Chairs:
• Hassan Noura, University of Franche Comte, France
• Ola Salman, DeepVu, USA

General Chairs:
• Jean-Gabriel Ganascia, Sorbonne University, France
• Guy Pujolle, Sorbonne University, France


Looking forward to your submissions!

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