Survey of data intensive computing technologies application to to security log data management

Author:

Tall Anne1,Wang Jun1,Han Dezhi2

Affiliation:

1. University of Central Florida, Orlando, Florida

2. Shanghai Maritime University, Shanghai, China

Funder

National Science Foundation

National Natural Science Foundation of China

Publisher

ACM

Reference28 articles.

1. Apache Hadoop https://hadoop.apache.org/ Apache Hadoop https://hadoop.apache.org/

2. Spark https://spark.apache.org Spark https://spark.apache.org

3. Apache Flume https://flume.apache.org/ Apache Flume https://flume.apache.org/

4. Beaver D.; Hutchinson S.; Elasticsearch Logstash and Kibana (ELK) Carnegie Mellon University Software Engineering Institute FloCon 2015 January 2015. http://www.cert.org/flocon/past-conferences.cfm Beaver D.; Hutchinson S.; Elasticsearch Logstash and Kibana (ELK) Carnegie Mellon University Software Engineering Institute FloCon 2015 January 2015. http://www.cert.org/flocon/past-conferences.cfm

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1. A Comprehensive Survey on Big Data Technology Based Cybersecurity Analytics Systems;Applied Soft Computing and Communication Networks;2021

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