Quantum Computing and its Potential Impact on IoT Security

By: Vanna karthik; Vel Tech University, Chennai, India

Abstract

The revolutionary computing method of quantum computing now demonstrates the ability to work with intricate challenges which traditional computers cannot handle. The technology unlocks multifaceted research prospects yet destroys multiple security systems currently in place. The IoT depends on conventional encryption despite which it remains extremely susceptible to attacks enabled by quantum-based technologies. This study evaluates how quantum computing affects IoT security systems by examining both security risks that become possible as well as potential safety improvements it provides. Post-quantum cryptography serves as one of the examined strategies to protect IoT from quantum threats ensuring quantum-safe IoT operation in the future.

Introduction

The explosive expansion of IoT technology has established a worldwide network that brings benefits of automation alongside growth in efficiency and convenience for billions of connected devices. IoT devices mainly use cryptographic protocols based on RSA and ECC, but these encryption methods become vulnerable through quantum computing because quantum computers can break them[1]. Quantum computers based on quantum mechanical principles can break encryption algorithms thus endangering the secrecy and entire operational structure of IoT systems. This paper investigates the security challenges that quantum computers present to IoT networks with separate discussions of available countermeasures.

How Quantum Computing Threatens IoT Security

1. Breaking Classical Encryption

The majority of IoT devices implement security through the combination of RSA, ECC and various public-key cryptographic algorithms for their communication protection[1]. A combination of Shor’s algorithm and quantum computers can quickly factor large prime numbers through quantum computation thus enabling easy encryption breaches resulting in cybersecurity threats toward IoT systems.

2. Compromising Authentication Mechanisms

IoT devices protect their authentication procedures by using cryptographic signatures to confirm users and other devices. Quantum computing has the power to create fake signatures which enables attackers to perform unauthorized access while mimicking devices and creating extensive IoT botnet attacks[2].

3. Threats to Data Integrity

Quantum computers continuously manipulate intercepted data from IoT networks through decryption methods which allow attackers to modify important data without detection. The lack of security measures creates substantial threats toward information technology systems in healthcare and industrial sectors and smart cities[3].

4. Increased Attack Surface for Cybercriminals

Old encryption methods are no longer sufficient to protect IoT devices because undated quantum-resistant solutions present attackers with an accessible point of entry[3]. The absence of quantum-resistant mechanisms in IoT devices will create conditions that enhance the risk of ransomware attacks as well as espionage and massive data breaches.

A diagram of a security system

AI-generated content may be incorrect.
Fig : quantum computing impacts IoT security

Potential Benefits of Quantum Computing for IoT Security

The threats of quantum computing do not prevent it from driving effective solutions to strengthen IoT security:

1. Quantum Cryptography

Through QKD technology secure communication networks are established through quantum mechanics foundation. Two parties can produce encryption keys through a method which detects any interception attempt for maximum security beyond traditional cryptography[4].

2. Advanced Threat Detection

Through quantum computing operations run efficiently while spotting unusual network patterns and this allows IoT networks to identify anomalies in real-time. The early detection of cyberattacks becomes possible through this prevention system which helps avoid major system harm[5].

3. Stronger Encryption Algorithms

Scientists develop post-quantum cryptography (PQC) as a solution for creating encryption methods which quantum attackers cannot breach. The security of IoT systems during the quantum era will be protected through these modern algorithmic advancements[4].

Mitigation Strategies for IoT Security in the Quantum Era[6]

1. Adoption of Post-Quantum Cryptography

Moving IoT devices to quantum-resistant cryptographic algorithms including hash-based and lattice-based systems constitutes an absolute necessity for IoT security protection.

2. Integration of Quantum Key Distribution (QKD)

Secure key exchanges in IoT communication become possible through QKD implementation which decreases the opportunity for quantum computer interception.

3. Upgrading IoT Infrastructure

As part of their design process manufacturers need to build IoT devices which include components that can be upgraded so they become ready for quantum-resistant security protocols.

4. Regulatory and Compliance Measures

Government entities together with organizations should execute mandatory policies for quantum-safe cryptographic standards deployment within IoT systems.

Conclusion

The potential of quantum computing brings different security hurdles together with new security prospects to the IoT system. Quantum computing attacks establish an eminent threat to traditional security via cryptography yet provide new quantum cryptography and improved threat defense capabilities. Jumping to quantum-safe cryptographic protocols remains vital for IoT security because it protects future attacks on connected networks. The future survival of IoT depends on implementing quantum-resistant solutions together with modernized security protocols at the present time.

References

  1. Department of Cyber Security, Elizade University, Ilara Mokin, Nigeria et al., “Quantum Computers and Algorithms: A Threat to Classical Cryptographic Systems,” Int. J. Eng. Adv. Technol., vol. 12, no. 5, pp. 25–38, Jun. 2023, doi: 10.35940/ijeat.E4153.0612523.
  2. D. Chawla and P. S. Mehra, “A roadmap from classical cryptography to post-quantum resistant cryptography for 5G-enabled IoT: Challenges, opportunities and solutions,” Internet Things, vol. 24, p. 100950, Dec. 2023, doi: 10.1016/j.iot.2023.100950.
  3. Durr-E-Shahwar, M. Imran, A. B. Altamimi, W. Khan, S. Hussain, and M. Alsaffar, “Quantum Cryptography for Future Networks Security: A Systematic Review,” IEEE Access, vol. 12, pp. 180048–180078, 2024, doi: 10.1109/ACCESS.2024.3504815.
  4. D. Chawla and P. S. Mehra, “A Survey on Quantum Computing for Internet of Things Security,” Procedia Comput. Sci., vol. 218, pp. 2191–2200, 2023, doi: 10.1016/j.procs.2023.01.195.
  5. S. Muhuri and S. S. Singh, “Quantum-Social Network Analysis for Community Detection: A Comprehensive Review,” IEEE Trans. Comput. Soc. Syst., vol. 11, no. 5, pp. 6795–6806, Oct. 2024, doi: 10.1109/TCSS.2024.3397967.
  6. C. Mangla, S. Rani, N. M. Faseeh Qureshi, and A. Singh, “Mitigating 5G security challenges for next-gen industry using quantum computing,” J. King Saud Univ. – Comput. Inf. Sci., vol. 35, no. 6, p. 101334, Jun. 2023, doi: 10.1016/j.jksuci.2022.07.009.
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  9. Deveci, M., Pamucar, D., Gokasar, I., Köppen, M., & Gupta, B. B. (2022). Personal mobility in metaverse with autonomous vehicles using Q-rung orthopair fuzzy sets based OPA-RAFSI model. IEEE Transactions on Intelligent Transportation Systems24(12), 15642-15651.
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Cite As

Karthik V. (2025) Quantum Computing and its Potential Impact on IoT Security, Insights2techinfo pp.1

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