The analysis of big Data application mode and security risk
Tai-sheng Zeng · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In the current social background, Existing facilities and tools already can not meet the needs of big data in expanding and analysis techniques.Today's data storage and analysis work is achieved under cloud conditions and Hadoop were set up.Under the conditions for cloud computing, cloud computing applications who have remote data files were not authorized to read its contents, which results in unauthorized manipulation, and it will produce a lot of security risks for large data.In this paper, according to the cloud of different modes, Hadoop different stages of the operation, subject to the threat of non-confidence and security to steal big data generated to analyze a variety of privacy, with threat model as an example, it explores ways to address security threats. PrefaceAt present, when it comes to communications, data generation rate in computing, which continue to grow rapidly, while the data processing capacity of traditional data processing is more limited, so for these much-needed data, you must choose the research and development of new technologies to fight.Traditional data processing modes slowly cannot meet the increasingly large number, increasingly complex structure, expanding a wide range of data, traditional analytic tools is facing enormous challenges.Usually people only take the form of adding compute nodes and systems data processing functions can be realized.Therefore, a highly efficient and reliable data-processing pattern--cloud pattern has emerged.Through cloud computing platform and calculation module of Hadoop can efficiently handle large streams of data.Due to the characteristics of the model itself, which results in relatively weak security, and brings a certain amount of risk.