# Enhancing Resilience in Digital Twins: ASCON-Based Security Solutions for Industry 4.0
## 2 Literature Review
The DL scheme focuses on applying an Intrusion Detection System (IDS) to valid data retrieved from the blockchain. The practical implementation demonstrates substantial improvements in communication security and data privacy. In their research [10], the authors focused on enhancing communication security between IoT devices and DTs. Their approach included implementing a private blockchain and smart contracts, along with leveraging deep learning techniques to monitor network traffic. This combination ensured the integrity and security of data transmitted between physical devices and DTs, preventing unauthorized tampering. Furthermore, their use of deep learning enabled early detection of botnet behaviors, prompting timely security responses to isolate compromised devices. This comprehensive strategy effectively bolstered communication security and upheld data integrity. In their research [11], the focus was on enhancing communication security between IIoT devices and DTs using quantum communication technologies. They proposed a novel channel encryption scheme rooted in quantum principles, leveraging entanglement states and quantum teleportation. Additionally, they introduced an Adaptive Key Residue algorithm based on quantum key distribution mechanisms. This innovative approach aims to significantly strengthen the security of communication channels between IIoT devices and DTs. In their study [13], a robust privacy-preserving scheme tailored for digital twin-based traffic control was proposed. The scheme operates in two main phases. Firstly, during the data uploading phase, a group signature technique with time-bound keys was employed to authenticate data sources, efficiently revoke members, and protect privacy during data storage on cloud service providers after synchronization with the digital twin. In the subsequent data-sharing phase, a secure attribute-based access control technique was utilized to enable flexible and efficient data sharing. Notably, specific subpolicy parameters are stored during initial decryption, reducing computational complexity for subsequent data access under the same subpolicy. The paper also includes a theoretical analysis that validates the security and efficiency of the proposed scheme. In addressing the security and trustworthiness of communication between the Digital Twin and physical devices, various technologies and hardware and software solutions were explored, as discussed in [12]. Device authentication utilized Trusted Execution Environment platforms and Physically Unclonable Functions (PUFs). Additionally, blockchaintechnology was investigated for its ability to provide secure, immutable, and auditable data storage for critical exchanged data. In proposing a secure smart manufacturing framework through the integration of Digital Twin (DT) and blockchain technologies, a study by [14] aimed to facilitate efficient and secure multiparty collaborative information processing in heterogeneous IIoT environments. The authentication mode demonstrated in the paper was found to outperform the standard protocol in terms of time efficiency. Simulation results were highlighted, although detailed information on other employed methods was not provided in the paper. Future enhancements to the framework were suggested, including the potential integration of quantum computing technology to further improve overall efficiency and security. In their research [15], the authors introduced a dual-blockchain-based architecture designed to enhance data security in IoT contexts. This architecture comprised an authorization Blockchain for managing permissions and achieving consensus, alongside a storage blockchain for securely storing data. Implemented within an IoT system utilizing Digital Twin technology, the framework aimed to ensure secure data exchange across physical systems, Digital Twins, and IoT applications. However, the study primarily focused on data authentication, assuming that data from IoT devices would be encrypted during transmission.