Artificial Intelligence, Cyber Security, And Emerging Technologies
Training course on Quantum Cybersecurity and Post-Quantum Cryptography
Master Training course Quantum with expert training. 10 Days course with certification. Comprehensive training program. Online & in-person. Enroll now!
Artificial Intelligence, Cyber Security, And Emerging Technologies10 DaysCertificate Included
Duration
10 Days
Mode
Online & Physical
Certificate
Included
Language
English
Course Overview
This course explores the next frontier of cybersecurity—quantum computing and its profound implications for modern cryptographic systems. Participants will gain an in-depth understanding of quantum threats to classical encryption, learn about emerging post-quantum cryptographic algorithms, and develop strategies for securing digital infrastructures in the quantum era. Through lectures, labs, and simulations, the course bridges theory and application, preparing cybersecurity professionals to future-proof systems against quantum-enabled adversaries.
Secure enrollment • Professional certificate included
Learning Objectives
By the end of the course, participants will be able to:
Understand the principles of quantum computing and its impact on modern cryptography.
Identify vulnerabilities of existing cryptographic systems under quantum attacks.
Explore key post-quantum cryptographic algorithms and their real-world applications.
Evaluate frameworks and standards for quantum-safe security implementation.
Design strategies for transitioning from classical to quantum-resistant cryptographic systems.
Implement basic post-quantum cryptographic tools and protocols in simulated environments.
Course Content
Module 1: Introduction to Quantum Computing and Cryptographic Challenges
Overview of quantum mechanics concepts relevant to computing and encryption. Understanding qubits, superposition, entanglement, and quantum gates. Key distinctions between classical and quantum computation models. The rise of quantum supremacy and its implications for cybersecurity. How quantum algorithms (Shor’s, Grover’s) threaten RSA, ECC, and symmetric key encryption. Discussion: Timeline for quantum computing maturity and global readiness. Case review: IBM, Google, and China’s quantum advancements. Module 2: Quantum Threat Landscape and Cryptographic Vulnerabilities Assessing the impact of quantum attacks on cryptographic infrastructure. Understanding the “harvest now, decrypt later” threat model. Cryptographic algorithms at risk: RSA, AES, SHA-2, ECC, and TLS. Evaluating risk exposure across cloud, IoT, and national infrastructure systems. Techniques for identifying weak points in legacy encryption. Interactive exercise: Mapping cryptographic dependencies in your organization. Developing risk mitigation strategies for quantum threats. Module 3: Post-Quantum Cryptography (PQC) Fundamentals and Algorithms Introduction to the field of PQC and its key design goals. Categories of PQC algorithms: lattice-based, hash-based, code-based, multivariate, and isogeny-based. Overview of NIST PQC standardization efforts and algorithm candidates (e.g., Kyber, Dilithium, Falcon). Comparative performance analysis of PQC schemes (speed, key sizes, resource usage). Practical considerations: scalability, interoperability, and backward compatibility. Lab activity: Implementing a basic lattice-based encryption demo. Module 4: Migration to Quantum-Resilient Security Architectures Designing migration strategies from classical cryptography to PQC. Hybrid cryptographic systems: blending classical and quantum-safe approaches. Integration challenges in enterprise and government systems. Cryptographic agility and how to prepare systems for future upgrades. Building an inventory of cryptographic assets and developing transition roadmaps. Case study: Global banks’ transition to PQC-secure infrastructure. Workshop: Drafting a “Quantum Transition Plan” for your organization. Module 5: Quantum Key Distribution (QKD) and Secure Communications Introduction to QKD: physics-based security model and core protocols (BB84, E91). Hardware and infrastructure requirements for QKD implementation. QKD vs. PQC: comparison and complementary uses. Integrating QKD into data center and satellite communication systems. Case studies: QKD deployment in defense, telecommunications, and financial institutions. Hands-on exercise: Simulating QKD protocol operations and key exchange. Module 6: Governance, Risk, and Compliance in the Quantum Era Overview of global cybersecurity regulations related to quantum threats. NIST, ISO/IEC, and ETSI standards for quantum-safe cryptography. Creating governance frameworks for quantum readiness and compliance. Legal and ethical considerations in cryptographic transitions. Risk management lifecycle for quantum security initiatives. Policy design workshop: Drafting a Quantum-Safe Security Policy (QSSP). Module 7: Quantum-Safe Network and Cloud Security Quantum risks in cloud computing, 5G networks, and IoT ecosystems. Implementing PQC in hybrid and multi-cloud environments. Securing data-in-transit, at-rest, and in-use with quantum-resistant solutions. Incorporating PQC into SSL/TLS, VPNs, and identity management systems. Leveraging AI for adaptive quantum threat detection and anomaly response. Hands-on simulation: Deploying PQC-based encryption in a cloud service. Module 8: Simulation and Practical Lab Sessions Implementing lattice-based cryptographic schemes using open-source libraries (e.g., Open Quantum Safe). Testing PQC algorithms for performance, scalability, and security robustness. Demonstration: Simulating quantum attacks using Shor’s algorithm emulator. Applying PQC encryption in real-world communication scenarios. Group exercise: Designing a PQC prototype for an enterprise application. Assessment: Secure configuration and validation of implemented PQC systems. Module 9: Strategic Transition to Quantum-Safe Ecosystems
Developing a quantum-safe migration roadmap Budgeting, planning, and managing organizational change Vendor assessment and supply chain considerations Real-world case studies of quantum-safe adoption Module 10: Future Trends and Research Directions in Quantum Cybersecurity Quantum internet and next-generation encryption protocols Advances in quantum hardware and simulation tools Role of AI in enhancing quantum threat detection Emerging opportunities for cybersecurity innovation in the quantum era
Who Should Attend
This course is designed for cybersecurity professionals, cryptographers, network architects, IT risk managers, government security officials, and technology strategists. It is especially valuable for organizations seeking to future-proof their security infrastructures against quantum threats and align with emerging PQC standards.
