Abstract:

Data is a kind of competitive resources for all walks of life in the future, thus how to get effective data will become a problem to be solved in the process of public security information construction. Especially with the development and application of cloud computing technology, the scale of information system applied in the various fields has enlarged, and the amount of data has also increased day by day. Internet brings to people rich information, and on the other side, promotes the network crime, which creates more work to investigators. The biggest challenge is the traditional electronic forensic technology has been unable to store and analyze massive data efficiently. Serial processing technology and single processor is hard to deal with a huge amount of data within a valid period of time, and cannot meet the demand of large dataset for physical devices as well as the demand of sharing various data. Cloud computing is highly prized for the mode of pay-on-demand, regardless of the conditions of many bottom infrastructures. As an open source cloud computing infrastructure, Hadoop is the most successful and popular big data batch processing platform so far. Based on the research of Hadoop platform, this article applies Hadoop to electronic forensic to establish a hierarchical forensic model under the big data environment. At the same time, this article provides theoretical support to achieve the reasonable scheduling of the equipment resources, and to construct the comprehensive forensic service platform for intelligence sharing of data resources.

Key words: electronic forensic, big data, Hadoop platform, distributed forensic