Author:
Júnior José Valdy Campelo,Gondim João José Costa
Abstract
Analyzing attacks on computer networks is complex given the volume of data considered and the large number of machines, even in small networks. The volume of data is large and the time to process and analyze it is short. The goal is to extract and analyze information about network attacks that has been obtained from open sources. Using a robust, elastic and scalable architecture that makes use of processing techniques with the use of Hadoop so that the information is available in a timely manner. With the proposed architecture implemented all the desired characteristics were obtained allowing the processing of the data in near real time. The system provides intelligence information about large-scale attacks with agility and efficiency.
Cited by
2 articles.
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