An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy

Abstract

The Internet of Things (IoT) strongly influences the world economy; this emphasizes the importance of securing all four aspects of the IoT model: sensors, networks, cloud, and applications. Considering the significant value of public-key cryptography threats on IoT system confidentiality, it is vital to secure it. One of the potential candidates to assist in securing public key cryptography in IoT is quantum computing. Although the notion of IoT and quantum computing convergence is not new, it has been referenced in various works of literature and covered by many scholars. Quantum computing eliminates most of the challenges in IoT. This research provides a comprehensive introduction to the Internet of Things and quantum computing before moving on to public-key cryptography difficulties that may be encountered across the convergence of quantum computing and IoT. An enhanced architecture is then proposed for resolving these public-key cryptography challenges using SimuloQron to implement the BB84 protocol for quantum key distribution (QKD) and one-time pad (OTP). The proposed model prevents eavesdroppers from performing destructive operations in the communication channel and cyber side by preserving its state and protecting the public key using quantum cryptography and the BB84 protocol. A modified version is introduced for this IoT situation. A traditional cryptographic mechanism called “one-time pad” (OTP) is employed in hybrid management.

Secure IoT communication: Implementing a One-Time-Pad Protocol with True Random Numbers and Secure Multiparty Sums

“…This process enables the user U 1 to verify that U 2 has the same OTP key, which can be utilized by U 2 in the same way. It should be noted that this concept is not novel and has been applied in a different context, such as IoT with a quantum security layer, as illustrated in [21]. Observe also that the final steps in the KeyGen-security validation might seem unnecessary, since comparing the hash of the entire key should suffice, which is indeed the case.…”

Artificial Intelligence and Quantum Cryptography

“…It relies on the QKD (Quantum Key Distribution) method, which allows two parties to exchange a secret, shared random key for encrypting and decrypting their messages. The BB84 protocol is a well-known example of the QKD methods [33].…”

GS3: A Lightweight Method of Generating Data Blocks With Shuffling, Scrambling, and Substituting Data for Constrained IoT Devices

“…Therefore, it makes this scheme less suitable for sensor devices. Nevertheless, some research based on Electric Curves Cryptography (ECC), [20] or more recently based on Quantum Cryptography [21], have reduced the computational costs, but require highly specialized hardware. On the other hand, private key ciphers ensure confidentiality, integrity, and authenticity.…”