Design of enterprise massive sensitive information management algorithm based on linear tree thinking

Abstract

Due to the principle of confidentiality of enterprises massive sensitive information, it is difficult to achieve efficient management. The conventional management algorithm has the problems of large error and long time consuming. This paper proposes an algorithm of enterprise massive sensitive information management based on linear tree thinking. A MMBST linear data structure is designed. MMBST is used to divide sensitive information into fixed-size information blocks and it establishes corresponding information management line tree. Priority and sensitivity probability are set to balance the data. The experimental results show that the proposed algorithm has high accuracy and less time consuming, and can effectively manage the sensitive information under the enterprise resource sharing platform.

Subject Classification:

• MSC2010
• 94C99

Keywords:

• Enterprise resource sharing platform
• Sensitive information
• Efficient management