## 3 Key Findings
### What Security Enhancement Could the Quantum Mechanism Offer the IIoT Ecosystem?
#### 3.3.3 Quantum Deployment in IIoT
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline \hline
**Authors** & **Findings** & **Methodology** & **Future Direction** \\ \hline
[103] & Quantum computers reveal the classical cryptographic weakness to the threats from the classical and quantum mechanisms. Breakthroughs in the field of quantum-resistant cryptosystems & Review & IoT devices are to be engineered toward the integration of quantum attack-resistant capability \\ \hline
[106] & Each of the following quantum algorithms is identical in solving industrial problems. QAOA, quantum adiabatic algorithm, [PERSON]’s search algorithm, differential quantum circuits, variational quantum classifiers, and networks & Survey & Quantum algorithms are to be more widely deployed, especially in the automotive industry to curtail the current challenges in the system \\ \hline
[105] & Quantum cloud system is observed to safeguard sensitive medical data due to its distinct features of entanglement and no-cloning & Review & Deployment of a QCS to solve processing complexity of medical data: molecule simulation and drug discovery processes \\ \hline
[108] & Implementation of QA processor for optimization challenges in an industry setting & Deployment & Industries are to adopt the quantum approach as a safeguard against present and future quantum attacks \\ \hline
[104] & Trends in QC from quantum computers to quantum algorithms and even to the development of quantum Internet & Review & Researchers are to integrate QC into WSN using mathematical modeling \\ \hline
[107] & Analyzed QC-based security of IoT environment. QC, unlike classical computing, has high processing power to rapidly tame current encryption techniques. Developed countries are leading in this research niche & Review & The authors opted for more research work in this area to ameliorate the security risk in the computing era with the help of QC-based IoTSec \\ \hline
[109] & ML approaches in data training and processing are incapacitated for 6G networks due to their dynamic applications and services. QML algorithms enhance processing efficiency for effective quantum data representation, storage, secure communications, and superposition framework & Survey & Adoption of Quantum-inspired ML applications by the next generation’s quantum developers and researchers for 6G networks and beyond \\ \hline
[110] & Need of quantum technology, for 6G communication, due to its efficient ultra-reliable, faster, economic power, and reliable communication in revolutionizing wireless resource optimization challenges in 6G communication systems & Survey & Intensification of more research work on emerging QC for its potential capability in solving computing complexity efficiently \\ \hline \hline \end{tabular}
\end{table} 
Table 6: State of the art on Quantum Techniques Deployment. Likewise, [PERSON] et al. [111] stepped further to adopt multi-party collaborative signatures from the lattice hard technique against additional attacks, such as impersonation, reply, side channels, and quantum algorithm attacks. The researchers were able to use multi-party signatures and public auditing to ensure the triads of security of the new protocol in the random oracle model. The authors developed a prototype under the hardness of MLWE as a demonstration of the protocol's feasibility and efficiency evaluation. Similarly, a Lightweight PQE algorithm-Nth-degree Truncated Polynomial Ring Units (NTRU) approach was proposed in [3] to ensure the privacy preservation of the authorized party during registration in an IIoT ecosystem. This approach does not only offer reliability and dynamism of access control management system for IIoT devices in a decentralized setting but also utilizes TIC, URC, and MC to manage all events in an IIoT environment. The traditional identity scheme was advanced to a flexible identity token, which eventually undermined the malicious attack. In reality, all the vulnerabilities are virtually data-dependent and intensified in this era of big data.