(UPI) Chapter 16: Emerging Technologies in Cybersecurity Course (How To)

About this Course

In this chapter, emerging post-quantum cryptographic (PQC) technologies are explored with a focus on lattice and code-based schemes, detailing how Physical Unclonable Functions (PUFs) can be integrated to generate secure public–private key pairs for future PKIs. Experimental evaluations demonstrate that, with proper optimization (e.g., using AVX2 and GPU acceleration), PQC protocols like CRYSTALS-Dilithium and LightSABER can achieve performance competitive with current ECC-based systems, paving the way for secure key distribution in the quantum era.

Syllabus

16.2. Lattice and Code-Based Post Quantum Cryptography

In this stage, the chapter introduces the foundational PQC schemes based on lattice problems and code-based approaches, explaining key generation methods like Learning with Error (LWE), Learning with Rounding (LWR), and NTRU cryptography.

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16.1. Introduction
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16.2.1 Learning with Error Cryptography
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16.2.2 Learning with Rounding Cryptography
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16.2.3 NTRU Cryptography
Quiz 16.2

5 questions

16.3. Public Key Infrastructure

In this stage, the integration of PQC algorithms into a traditional Public Key Infrastructure is discussed, emphasizing the secure generation, distribution, and verification of key pairs using advanced cryptographic techniques and hardware acceleration.

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16.3.1 Public-Private Key Pairs
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16.3.2 PKI with Network of PUFs
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16.3.3 Implementation of PQC Algorithms for PKI
Quiz 16.3

5 questions

16.4. PUF-Based Key Distribution for PQC

In this stage, protocols leveraging Physical Unclonable Functions (PUFs) are presented to generate one-time-use key pairs for various PQC algorithms, ensuring enhanced security by mitigating storage risks and addressing error rates with error-correcting techniques.

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16.4.1 PUF-Based Key Distribution for LWE Lattice Cryptography
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16.4.2 PKI Architecture with PUF-Based Key Distribution and LWE
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16.4.3 PUF-Based Key Distribution for LWR Lattice Cryptography
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16.4.4 PUF-Based Key Distribution for NTRU Lattice Cryptography
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16.4.5 PUF-Based Key Distribution for Code-Based Cryptography
Quiz 16.4

5 questions

16.5. Experimental Evaluation

In this stage, the chapter details the experimental setup and results, comparing key generation throughput across different PQC algorithms using a response-based cryptography (RBC) engine and benchmarking them against established standards like ECC and AES.

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16.5 Introduction
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16.5.1 Experimental Methodology
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16.5.2 Evaluation of the Effective Key Throughput
Quiz 16.5

5 questions

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About this Course

16.2. Lattice and Code-Based Post Quantum Cryptography

16.1. Introduction

16.2.1 Learning with Error Cryptography

16.2.2 Learning with Rounding Cryptography

16.2.3 NTRU Cryptography

Quiz 16.2

16.3. Public Key Infrastructure

16.3.1 Public-Private Key Pairs

16.3.2 PKI with Network of PUFs

16.3.3 Implementation of PQC Algorithms for PKI

Quiz 16.3

16.4. PUF-Based Key Distribution for PQC

16.4.1 PUF-Based Key Distribution for LWE Lattice Cryptography

16.4.2 PKI Architecture with PUF-Based Key Distribution and LWE

16.4.3 PUF-Based Key Distribution for LWR Lattice Cryptography

16.4.4 PUF-Based Key Distribution for NTRU Lattice Cryptography

16.4.5 PUF-Based Key Distribution for Code-Based Cryptography

Quiz 16.4

16.5. Experimental Evaluation

16.5 Introduction

16.5.1 Experimental Methodology

16.5.2 Evaluation of the Effective Key Throughput

Quiz 16.5

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