Quantum Computing (QC). The content of node or sink nodes is processed using the fundamental principles of quantum mechanics. However, cryptography techniques face several other issues, such as availability, integrity, and vulnerability, to name a few. The researchers have overcome many obstacles, yet security remains a crucial concern in QC. However, experimenters recently discovered that the QC has a lot more data hacking than static networks. Moreover, the bitwise error is still present in implementing the Quantum Computing Cryptography Protocol (QCCP). Because all nodes are mobile and dynamic topology occurs, the proposed research uses the Quantum Elliptical Curve Cryptography (QECC) protocol. To provide the appropriate key generation and key sharing mechanism to convert the fool node to a brawny node and avoid packet loss and energy consumption in the network. By turning the fool node into a vital node, the QECC lowers the network's error rate. The experiment uses Network Simulator 2 to achieve successful outcomes such as decreased packet loss, reduced error rate with increased energy consumption, increased pair key generation for additional nodes, and increased packet size.

With the increasing use of Internet of Things (IoT) devices, ensuring their security and privacy has become crucial. Due to its decentralized and immutable nature, blockchain technology has emerged as a potential solution for effective device management. This study proposes a trust-based framework for managing IoT devices using blockchain techniques. The framework utilizes a blockchain-based decentralized trust model and employs a consensus mechanism to ensure system integrity and security. The feasibility and effectiveness of the proposed approach are demonstrated through simulation experiments. The framework achieves a trust score accuracy of over 90%, 30% higher than the best-performing approach in previous studies. The consensus mechanism implemented in the framework also reduces the probability of a security breach by 50% compared to the most secure system in prior research. This study shows that the proposed trust-based framework is a promising solution for managing IoT devices using blockchain technology, offering significant improvements over existing approaches.

The increasing use of Vehicular Ad-hoc Networks (VANETs) in smart transportation points to the need for solutions that are quantum-computing resistant. The usual reactive security systems in the cloud cannot handle real-time vehicle applications and fail even more when attacked by quantum technology. In this paper, the suggested framework, Quantum-Secure Predictive Maintenance (QSPM), combines quantum-safe communication with QKD, early fault detection using LSTM networks at the edge and verifiable maintenance results validated with blockchain technology. A secure connection is guaranteed with BB84, and AI at the edge helps predict when maintenance is required by analyzing instant sensor information in the QSPM framework. Maintenance schedule reminders are done automatically by smart contracts, and the system uses post-quantum cryptography for lasting security. Tests done in NS-3 and MATLAB demonstrated that QSPM finds 94.6% of faults, cuts packet loss by 42%, extends network lifetime by 38% and raises resistance to cyberattacks by 55%. Results indicate that QSPM provides better security, reduces how long a vehicle stands idle and makes it possible to use quantum-resistant maintenance for future connected vehicles.