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Tuesday, August 5, 2025

Quantum Randomness and the Future of Cybersecurity: A UPSC Perspective

 

Quantum Randomness and the Future of Cybersecurity: A UPSC Perspective

✍️ By Suryavanshi IAS
📚 Relevant for GS-3: Science & Technology, Internal Security, Cybersecurity, and Emerging Technologies


🔐 Introduction

In an age of mass digital surveillance, data breaches, and rising cyber threats, data encryption forms the bedrock of cybersecurity. The 2013 revelations by whistleblower Edward Snowden shocked the world, showing how intelligence agencies had compromised widely used encryption systems. His proposed solution — mass adoption of end-to-end encryption — underscored the need for truly secure communication systems.

Now, in 2025, a revolutionary step has been taken by researchers at the University of Colorado Boulder (CUB) and the National Institute of Standards and Technology (NIST): generating truly random numbers using quantum mechanics, verified and traceable through blockchain technology.

Let’s decode what this means for India’s security, technological autonomy, and UPSC aspirants.


📘 Relevance to UPSC GS-3 Syllabus

Paper: General Studies Paper III
Topics Covered:

  • Science and Technology – developments and their applications and effects in everyday life

  • Achievements of Indians in science & technology

  • Awareness in the fields of IT, Computers, Robotics, Nanotechnology, and Biotechnology

  • Challenges to internal security through communication networks

  • Cybersecurity


🧠 What Is Randomness in Cryptography?

In any encryption system, a key is used to convert data into unreadable ciphertext and then back to readable plaintext. The secrecy of the key determines the success of the system.

The key must be sufficiently random to avoid prediction or hacking. Traditional systems like Cloudflare's lava lamp wall use pseudo-random number generators (PRNGs) — deterministic systems that simulate randomness but can still be predicted if the seed is known.

Quantum randomness changes this paradigm.


⚛️ Quantum Randomness: A Game-Changer

Quantum mechanics allows for inherently unpredictable outcomes.

Example: A photon's polarization is both vertical and horizontal until it is measured — the outcome is truly random.

Kavuri and team used this feature to develop a Quantum Random Number Generator (QRNG) that leverages entangled photons. These were generated using a process called spontaneous parametric down-conversion.

🔬 How it works:

  1. High-energy photons are split into entangled photon pairs.

  2. These are sent to two labs where their polarizations are measured.

  3. Measurements repeated 15 million times per minute create a stream of truly random bits.

  4. A randomness extractor processes this data using an independent seed from DRAND.

  5. Output: A final string of 512 unbiased random bits.


🔗 Blockchain Integration: The ‘Twine’ Protocol

To build trust and verifiability, researchers embedded blockchain in the protocol. This allows any party to audit every step:

  • NIST (bit generation)

  • CUB (randomness extraction)

  • DRAND (seed provider)

Each step is hashed into a fingerprint. Any tampering will change the fingerprint and break the chain — ensuring integrity and decentralised trust.


🇮🇳 Indian Efforts in Quantum Cryptography

India is not behind. Several initiatives include:

  • Raman Research Institute (RRI) has made significant breakthroughs in quantum key distribution (QKD).

  • SETS (Chennai) has developed a QRNG.

  • ISRO and DRDO are exploring satellite-based quantum communication.

India’s vision of "Digital Sovereignty" and self-reliance in cybersecurity aligns with these innovations.


🔐 Why Does True Randomness Matter?

  • Protection from surveillance: Governments can no longer crack encryption easily.

  • Resistance to quantum computers: Classical systems will fail once quantum computers become powerful enough.

  • Data sovereignty: No dependence on foreign tech for encryption.


📊 Previous Year Questions (PYQs) – UPSC GS-3

Let’s align this topic with UPSC’s previous patterns:

🔸 2020 (GS-3)

Q. What are the challenges to our cultural practices in the name of secularism? (Tangentially connects via surveillance and personal freedoms)

🔸 2017 (GS-3)

Q. What is digital signature? What does its authentication mean? (Directly linked to encryption and cybersecurity)

🔸 2017 (GS-3)

Q. Cyber security is an emerging concern in India. What are its main challenges and how should India prepare? (Highly relevant)

🔸 2016 (GS-3)

Q. Discuss the advantage and security implications of cloud hosting of servers vis-a-vis in-house machine-based hosting for government businesses.


📌 Important Keywords for Mains Answer Writing

TermDescription
Quantum RandomnessInherent unpredictability from quantum processes
Entangled PhotonsQuantum particles whose properties are interlinked
Randomness ExtractorTool that processes biased random bits into uniform randomness
BlockchainA distributed ledger system using cryptographic hashes
Lava Lamp EncryptionVisual randomness used by Cloudflare for entropy
Twine ProtocolBlockchain-based verification system for QRNG

🧾 Critical Analysis & Challenges

Strengths:

  • First truly auditable random number generator

  • Uses open-source, decentralised components

  • Verified by third parties

Challenges:

  • High setup costs due to sophisticated optical equipment

  • Scalability is limited (7,434 bits in 40 days)

  • Commercial deployment is years away


🧭 Way Forward for India

  1. Invest in Quantum Research: Build QRNGs and QKD networks.

  2. Integrate Blockchain with Public Key Infrastructure (PKI)

  3. Enhance R&D in Indigenous Cybersecurity Tools

  4. Include Cybersecurity in National Curriculum

  5. Collaborate Internationally, but Build Strategic Autonomy


📝 Mains Answer Writing Practice

Q. Discuss how quantum randomness can transform the future of cybersecurity. What are the opportunities and challenges in implementing such technologies in India? (250 words)


📚 Prelims Practice (MCQ)

Q. What is a Randomness Extractor used for?

A) To determine the strength of an encryption algorithm
B) To verify the identity of users in cryptography
C) To convert biased random data into uniformly random data
D) To encode messages using public key cryptography

Answer: C


✨ Conclusion

With quantum threats on the horizon, traditional cryptographic systems face extinction. The integration of quantum randomness and blockchain provides a trustworthy and transparent model for the future of cybersecurity. India must embrace such emerging technologies to ensure data privacy, digital security, and technological sovereignty in the 21st century.


📍Stay updated with Suryavanshi IAS for more such UPSC-aligned science & tech blogs.

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