Sensitive Information Detection and Governance in Binary Data Processing

DOI: https://doi.org/10.62517/jbdc.202501203

Author(s)

Jiahong Wang, Yibo Chang*

Affiliation(s)

College of Electronic Engineering, National University of Defense Technology, Hefei, Anhui, China *Corresponding Author

Abstract

In the current era of rapid digital development, binary data, as the fundamental storage and transmission form in computer systems, faces increasingly prominent security issues. Binary data exists in various non-text forms like computer programs and encrypted data. Its unstructured nature and poor readability make it difficult to detect sensitive information using traditional text-based methods. This paper starts with the characteristics of binary data and deeply explores the definition, classification of information sensitivity, and its significant importance in binary data processing. Information sensitivity is crucial for measuring the potential harm of data leakage or abuse. It includes personal privacy data, business-critical assets, and national-security-related information. It studies the identification technologies based on data feature analysis and machine learning. In the information age, binary data serves as the core carrier of digital systems, playing a crucial role. It is widely applied in various fields such as file storage, network communication, and program execution. Binary data may contain a large amount of sensitive information. If it is leaked or misused, it is highly likely to lead to serious consequences. Given that binary data has the characteristics of being unstructured and having poor readability, traditional text-based sensitive information detection strategies cannot be directly implemented. How to efficiently identify the sensitive content within binary data and formulate scientific management plans has become a major issue in the field of network security. In this paper, in combination with computer technology, a systematic exploration is carried out on the methods for identifying and managing the information sensitivity within binary data.

Keywords

Binary Data; Information Sensitivity; Privacy Protection; Data Encryption; Access Control

References

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