Applying Splunk to Detect the Attack of Distributed Denial of Service

碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 104 === In this thesis, we utilize the open source testing tools Hping3 and network analysis functions Scapy to simulate attacks including flood attacks, Distributed Denial of Service reflection attacks, and amplification attacks. The aggressive be-havior data is e...

Full description

Bibliographic Details
Main Authors:	LIU,CHAO-LIANG, 柳昭良
Other Authors:	Te-Jen Su
Format:	Others
Language:	zh-TW
Published:	2016
Online Access:	http://ndltd.ncl.edu.tw/handle/5zdcr9

id	ndltd-TW-104KUAS0393041
record_format	oai_dc
spelling	ndltd-TW-104KUAS03930412019-05-30T03:50:24Z http://ndltd.ncl.edu.tw/handle/5zdcr9 Applying Splunk to Detect the Attack of Distributed Denial of Service 應用 Splunk 偵測阻斷式服務攻擊 LIU,CHAO-LIANG 柳昭良碩士國立高雄應用科技大學電子工程系碩士班 104 In this thesis, we utilize the open source testing tools Hping3 and network analysis functions Scapy to simulate attacks including flood attacks, Distributed Denial of Service reflection attacks, and amplification attacks. The aggressive be-havior data is employed to accelerate the attack determination and to predict the possible hidden crises by applying the Splunk platform to do data analysis by using data generated from aggressive behavior, and determine accelerate the attacks and predict the possible hidden crisis. Applying the analysis of the result model to do data analysis and detect the attack of Distributed Denial of Service in the actual network environment. Finally, we performed gelocation Application Programming Interface lookup on internal IP addresses for making decision. Te-Jen Su 蘇德仁 2016 學位論文 ; thesis 52 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 104 === In this thesis, we utilize the open source testing tools Hping3 and network analysis functions Scapy to simulate attacks including flood attacks, Distributed Denial of Service reflection attacks, and amplification attacks. The aggressive be-havior data is employed to accelerate the attack determination and to predict the possible hidden crises by applying the Splunk platform to do data analysis by using data generated from aggressive behavior, and determine accelerate the attacks and predict the possible hidden crisis. Applying the analysis of the result model to do data analysis and detect the attack of Distributed Denial of Service in the actual network environment. Finally, we performed gelocation Application Programming Interface lookup on internal IP addresses for making decision.
author2	Te-Jen Su
author_facet	Te-Jen Su LIU,CHAO-LIANG 柳昭良
author	LIU,CHAO-LIANG 柳昭良
spellingShingle	LIU,CHAO-LIANG 柳昭良 Applying Splunk to Detect the Attack of Distributed Denial of Service
author_sort	LIU,CHAO-LIANG
title	Applying Splunk to Detect the Attack of Distributed Denial of Service
title_short	Applying Splunk to Detect the Attack of Distributed Denial of Service
title_full	Applying Splunk to Detect the Attack of Distributed Denial of Service
title_fullStr	Applying Splunk to Detect the Attack of Distributed Denial of Service
title_full_unstemmed	Applying Splunk to Detect the Attack of Distributed Denial of Service
title_sort	applying splunk to detect the attack of distributed denial of service
publishDate	2016
url	http://ndltd.ncl.edu.tw/handle/5zdcr9
work_keys_str_mv	AT liuchaoliang applyingsplunktodetecttheattackofdistributeddenialofservice AT liǔzhāoliáng applyingsplunktodetecttheattackofdistributeddenialofservice AT liuchaoliang yīngyòngsplunkzhēncèzǔduànshìfúwùgōngjī AT liǔzhāoliáng yīngyòngsplunkzhēncèzǔduànshìfúwùgōngjī
_version_	1719194383174074368

Applying Splunk to Detect the Attack of Distributed Denial of Service

Similar Items