JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark |
| 영문제목(English Title) |
High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark |
| 저자(Author) |
Janitza Punto Gutierrez
Kilhung Lee
|
| 원문수록처(Citation) |
VOL 17 NO. 04 PP. 0675 ~ 0686 (2021. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Nowadays, cloud computing is being adopted for more organizations. However, since cloud computing has a virtualized, volatile, scalable and multi-tenancy distributed nature, it is challenging task to perform attack detection in the cloud following conventional processes. This work proposes a solution which aims to collect web server logs by using Flume and filter them through Spark Streaming in order to only consider suspicious data or data related to denial-of-service attacks and reduce the data that will be stored in Hadoop Distributed File System for posterior analysis with the frequent pattern (FP)-Growth algorithm. With the proposed system, we can address some of the difficulties in security for cloud environment, facilitating the data collection, reducing detection time and consequently enabling an almost real-time attack detection. |
| 키워드(Keyword) |
Denial-of-Service
FP-Growth Pre-filtering
HDFS Spark Streaming
Web Log
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| 파일첨부 |
PDF 다운로드
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