Detection of TCP targeted high bandwidth attacks using self-similarity

In this paper the authors have tried to measure the impact of different variants of pulsating distributed denial of service attacks on the self-similar nature of the network traffic and to see if the variation in the H index could be used for distinguishing them from normal network traffic. Keywords...

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Main Authors:	Gagandeep Kaur, Vikas Saxena, J.P. Gupta
Format:	Article
Language:	English
Published:	Elsevier 2020-01-01
Series:	Journal of King Saud University: Computer and Information Sciences
Online Access:	http://www.sciencedirect.com/science/article/pii/S1319157817300617

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spelling	doaj-4bf17d8665674ed9946b64c96a69d99c2020-11-25T02:34:05ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782020-01-013213549Detection of TCP targeted high bandwidth attacks using self-similarityGagandeep Kaur0Vikas Saxena1J.P. Gupta2JIIT, Noida, UP, India; Corresponding author.JIIT, Noida, UP, IndiaSharda University, UP, IndiaIn this paper the authors have tried to measure the impact of different variants of pulsating distributed denial of service attacks on the self-similar nature of the network traffic and to see if the variation in the H index could be used for distinguishing them from normal network traffic. Keywords: Network attacks, Anomalies, DDoS, Rate-based detectionhttp://www.sciencedirect.com/science/article/pii/S1319157817300617
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Gagandeep Kaur Vikas Saxena J.P. Gupta
spellingShingle	Gagandeep Kaur Vikas Saxena J.P. Gupta Detection of TCP targeted high bandwidth attacks using self-similarity Journal of King Saud University: Computer and Information Sciences
author_facet	Gagandeep Kaur Vikas Saxena J.P. Gupta
author_sort	Gagandeep Kaur
title	Detection of TCP targeted high bandwidth attacks using self-similarity
title_short	Detection of TCP targeted high bandwidth attacks using self-similarity
title_full	Detection of TCP targeted high bandwidth attacks using self-similarity
title_fullStr	Detection of TCP targeted high bandwidth attacks using self-similarity
title_full_unstemmed	Detection of TCP targeted high bandwidth attacks using self-similarity
title_sort	detection of tcp targeted high bandwidth attacks using self-similarity
publisher	Elsevier
series	Journal of King Saud University: Computer and Information Sciences
issn	1319-1578
publishDate	2020-01-01
description	In this paper the authors have tried to measure the impact of different variants of pulsating distributed denial of service attacks on the self-similar nature of the network traffic and to see if the variation in the H index could be used for distinguishing them from normal network traffic. Keywords: Network attacks, Anomalies, DDoS, Rate-based detection
url	http://www.sciencedirect.com/science/article/pii/S1319157817300617
work_keys_str_mv	AT gagandeepkaur detectionoftcptargetedhighbandwidthattacksusingselfsimilarity AT vikassaxena detectionoftcptargetedhighbandwidthattacksusingselfsimilarity AT jpgupta detectionoftcptargetedhighbandwidthattacksusingselfsimilarity
_version_	1724810250844897280

Detection of TCP targeted high bandwidth attacks using self-similarity

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