6G Security: 6G Risk Threats, Surface and Advances Course by Tonex
This intensive two-day course provides a comprehensive look at the security challenges and solutions emerging in the 6G landscape. Participants will gain a solid understanding of the unique risk surface in 6G, explore potential threats, and examine best practices in risk management tailored for next-generation networks.
The course also covers cutting-edge advancements in 6G security technologies, including AI-driven threat detection, blockchain for identity management, and quantum encryption. Through real-world case studies and hands-on exercises, attendees will be equipped with the knowledge and skills to anticipate, identify, and mitigate risks in the evolving 6G ecosystem.
Learning Objectives:
By the end of this course, participants will be able to:
- Analyze the distinctive risk surface of 6G networks and identify security challenges posed by new technologies.
- Understand the threat landscape unique to 6G, including emerging attack vectors targeting AI, IoT, and cyber-physical systems.
- Apply risk management frameworks suitable for 6G, including zero-trust architecture, threat modeling, and incident response.
- Explore advanced security solutions for 6G, such as quantum encryption, blockchain, and AI-enhanced threat detection.
- Design a basic security plan for a 6G deployment, focusing on real-time threat detection and resilience in a high-risk environment.
Intended Audience:
This course is designed for:
- Network Security Professionals seeking to understand the security challenges in next-generation (6G) networks.
- Telecommunications Engineers involved in 6G research, development, and deployment.
- Cybersecurity Experts interested in threat modeling and advanced security solutions for high-risk, large-scale environments.
- Risk and Compliance Managers in telecommunications and technology sectors who need to understand regulatory and risk management approaches for 6G.
- Technical Project Managers leading projects related to 6G and advanced communications security.
Course Outline:
Day 1: Understanding 6G Security Landscape and Risk Surface
Session 1: Introduction to 6G and Security Challenges
- Overview of 6G: Key technologies, expected use cases, and capabilities
- Evolution of security from 4G to 5G to 6G
- Unique security challenges of 6G
Session 2: 6G Risk Surface Analysis
- Defining the risk surface: Expanding the scope in 6G networks
- Vulnerability analysis of 6G-enabling technologies (e.g., AI-driven network management, terahertz communication, quantum computing impacts)
- Threats to 6G architecture: Virtualization, cloud-native services, edge computing vulnerabilities
- Discussion: Identifying and categorizing potential 6G risk factors
Session 3: Threats in the 6G Ecosystem
- Emerging threat types: Advanced persistent threats (APTs), sophisticated botnets, IoT vulnerabilities
- Key threat vectors: Malware, phishing, DoS/DDoS, supply chain risks, hardware-based attacks
- Case Studies: Examples of 5G threats and potential 6G analogs
- Activity: Group exercise to brainstorm specific threats associated with new 6G features
Session 4: Cyber-Physical Threats and Network Resilience
- Risks to cyber-physical systems: Autonomous vehicles, smart cities, critical infrastructure
- Overview of network resilience principles: Redundancy, reliability, and self-healing networks
- Strategies for detecting and mitigating threats in real-time
- Discussion: Open forum on potential solutions for cyber-physical security
Day 2: Risk Management and Security Advancements in 6G
Session 5: 6G Security Standards and Regulatory Landscape
- Key standards and frameworks for 6G security (ITU, 3GPP, ETSI)
- Compliance and regulatory considerations in 6G networks
- International cooperation on 6G cybersecurity
Session 6: Risk Management Frameworks for 6G
- Risk management methodologies: Threat modeling, risk assessment, and incident response for 6G
- Establishing and prioritizing 6G security policies
- Implementation of zero-trust architecture in 6G
- Activity: Workshop on applying a risk management framework to a hypothetical 6G use case
Session 7: Advanced Security Technologies in 6G
- AI and ML in threat detection and response
- Blockchain and distributed ledger for secure identity management
- Quantum encryption for enhanced security
- Novel privacy-preserving techniques (e.g., differential privacy, homomorphic encryption)
- Discussion: Potential barriers to implementing advanced security solutions
Session 8: Future Directions and Hands-On Security Strategies for 6G
- Emerging research in 6G security and anticipated advancements
- Practical measures: Building an adaptable and secure 6G network
- Hands-On Exercise: Developing a security plan for a fictional 6G deployment, identifying threats, and proposing security controls
Session 9: Wrap-Up and Q&A
- Key takeaways from the course
- Open Q&A for participant questions
- Resources for further learning on 6G security
This format provides both foundational knowledge and practical application, ensuring participants come away with actionable insights and skills.