-
Application Analysis of Big Data in Information Security
-
2019, 5(7):
599-607.
-
Asbtract
(
)
PDF (2935KB)
(
)
-
References |
Related Articles |
Metrics
With the rapid development of human society, Interconnection communication technology becomes more and more improved and advanced, information exchanges becomes more frequent, information accumulation increases day by day, and the era of Big Data is coming. Nowadays, the concept of big data is widely used in various aspects of society, such as peoples livelihood, medical care, aviation and navigation, environmental protection, law and order, etc. Big data is not a castle in the air, but the real needs of the age. Big Data is generally thought to have originated from Googles “troika”(GFS, MapReduce, and BigTable), which has been in development for more than a decade, and changes continuously. Big Data can be roughly summarized into four parts: transmission of data, processing of data, storage of data, and query of data, each part includes different components to achieve their respective functions, typically Kafka, Message Queue in transmission of data, MapReduce, Spark, etc. in processing of data. These components together realize comprehensive and complex data analysis and constitutes the Hadoop ecosystem of Big Data. For information and network security, Big Data also plays an important role, such as big data privacy, public opinion monitoring, advanced persistent threat (APT) detection, etc. We are more aware of the importance of big data in the field of information security, through the case study of construction of Big Data platform for network traffic monitoring analysis, log analysis and electromagnetic data analysis.