# E-SAWM: A Semantic Analysis-Based ODF Watermarking Algorithm for Edge Cloud Scenarios
## 1 Introduction  
In the dynamic landscape of the digital economy, commercial banks face the challenge of sharing a significant amount of financial data with clients' designated digital applications in electronic file format [1]. As a novel file format, the open fixed-layout document (OFD) format has gained popularity within the financial industry [2]. It offers unique advantages for various financial processes, including electronic receipts and financial statements, which are in increased demand, leveraging the capabilities of the OFD format in the domain of financial management. In addition to the advantages of data sharing, the prevention of data leakage has emerged as a growing concern [3]. Currently, most banks rely on contractual agreements to enforce compliance and security measures during the transmission and utilization of data by application parties, lacking sufficient technical support. In cases of data leakage within the application scenario, banks encounter difficulties in promptly and accurately assigning responsibility to the relevant application parties, resulting in detrimental consequences for customers, banks, and the overall financial system. Given the increasing openness of the scenario ecosystem, relying solely on contractual agreements becomes increasingly challenging for banking institutions to mitigate risks associated with data sharing. It is imperative to incorporate additional technical support to fortify data security measuresand enable effective prevention and monitoring of data security risks. The integration of watermarks in OFD files plays a crucial role in ensuring timely traceability and accountability following instances of data leakage. Currently, there is a lack of a comprehensive security framework in the financial industry that effectively addresses the challenges of data leakage prevention and tracking during the transmission and processing of financial data between cloud edges. This issue becomes particularly evident in the context of the OFD file format landscape, where the technology is still in its early stages of application. Furthermore, there is a dearth of dynamic watermarking algorithms that possess high transparency, concealment, robustness, and the capacity to carry substantial financial antileakage tracking information. Banking and financial institutions heavily rely on data centers to facilitate financial services in conjunction with cloud-based scenarios. Within this service framework, the banking system is responsible for processing the entire collection of the bank's financial documents in the OFD format before transmitting them to the service scenario side for subsequent business processing. Ensuring the security of financial data during this processing stage is of utmost importance. We present E-SAWM, an implicit watermarking service framework for OFD files based on semantic analysis in an edge cloud computing scenario. Scenario-side edge cloud computing, an extension of the banking institution-side cloud computing center, is positioned closer to the user scenarios. In financial data-sharing scenarios, deploying data protection edge services on the scenario side enables accelerated and secure data processing. By leveraging the close proximity of edge computing to the data and utilizing its real-time capabilities, the scenario side allows for the application of more advanced security algorithms to meet diverse and higher-level financial data protection requirements, ensuring enhanced data security processing. In this paper, we propose an OFD implicit watermarking framework, E-SAWM, based on semantic analysis in edge cloud scenarios. To ensure the security of embedded watermarks, we leverage the inherent semantic properties of the internal structured files of OFD. By using semantic analysis techniques, we generate highly authentic pseudostatements that closely resemble genuine content. These pseudostatements are then distributed efficiently and seamlessly integrated into the redundant bits of the OFD structured files.