Methods for Preventing DDoS Attacks in Cloud Computing
Distributed Denial of Service (DDoS) are attacks in networks that cause major performance disturbance. Intrusion prevention system (IPS) are tools for deployment and the correct placement of IDS/IPS systems on networks is of great importance for optimal monitoring and achieving maximum effect in pro...
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ump-189112019-10-15T07:30:02Z http://umpir.ump.edu.my/id/eprint/18911/ Methods for Preventing DDoS Attacks in Cloud Computing Jaber, Aws Naser Mohamad Fadli, Zolkipli Mazlina, Abdul Majid Shahid, Anwar QA75 Electronic computers. Computer science Distributed Denial of Service (DDoS) are attacks in networks that cause major performance disturbance. Intrusion prevention system (IPS) are tools for deployment and the correct placement of IDS/IPS systems on networks is of great importance for optimal monitoring and achieving maximum effect in protecting a system. In order to predict network anomalies, we propose using a PCA-preprocessing and covariance analysis to divide historical data of a network. Then, rough set-based rules are applied for predicting the behavior of future data in the network in order to best respond to predicted attack threats. The methods advanced are intended to be simple, allowing flexibility in how they are applied to networks and predicting attacks while limiting computational overhead. American Scientific Publishers 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18911/1/fskkp-2017-jaber-Methods%20for%20Preventing%20DDoS.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18911/7/fskkp-2017-jaber-Methods%20for%20Preventing%20DDoS1.pdf Jaber, Aws Naser and Mohamad Fadli, Zolkipli and Mazlina, Abdul Majid and Shahid, Anwar (2017) Methods for Preventing DDoS Attacks in Cloud Computing. Advanced Science Letters, 23 (6). pp. 5282-5285. ISSN 1936-6612 https://doi.org/10.1166/asl.2017.7359 doi: 10.1166/asl.2017.7359 |
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English English |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Jaber, Aws Naser Mohamad Fadli, Zolkipli Mazlina, Abdul Majid Shahid, Anwar Methods for Preventing DDoS Attacks in Cloud Computing |
description |
Distributed Denial of Service (DDoS) are attacks in networks that cause major performance disturbance. Intrusion prevention system (IPS) are tools for deployment and the correct placement of IDS/IPS systems on networks is of great importance for optimal monitoring and achieving maximum effect in protecting a system. In order to predict network anomalies, we propose using a PCA-preprocessing and covariance analysis to divide historical data of a network. Then, rough set-based rules are applied for predicting the behavior of future data in the network in order to best respond to predicted attack threats. The methods advanced are intended to be simple, allowing flexibility in how they are applied to networks and predicting attacks while limiting computational overhead. |
format |
Article |
author |
Jaber, Aws Naser Mohamad Fadli, Zolkipli Mazlina, Abdul Majid Shahid, Anwar |
author_facet |
Jaber, Aws Naser Mohamad Fadli, Zolkipli Mazlina, Abdul Majid Shahid, Anwar |
author_sort |
Jaber, Aws Naser |
title |
Methods for Preventing DDoS Attacks in Cloud Computing |
title_short |
Methods for Preventing DDoS Attacks in Cloud Computing |
title_full |
Methods for Preventing DDoS Attacks in Cloud Computing |
title_fullStr |
Methods for Preventing DDoS Attacks in Cloud Computing |
title_full_unstemmed |
Methods for Preventing DDoS Attacks in Cloud Computing |
title_sort |
methods for preventing ddos attacks in cloud computing |
publisher |
American Scientific Publishers |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/18911/ http://umpir.ump.edu.my/id/eprint/18911/ http://umpir.ump.edu.my/id/eprint/18911/ http://umpir.ump.edu.my/id/eprint/18911/1/fskkp-2017-jaber-Methods%20for%20Preventing%20DDoS.pdf http://umpir.ump.edu.my/id/eprint/18911/7/fskkp-2017-jaber-Methods%20for%20Preventing%20DDoS1.pdf |
first_indexed |
2023-09-18T22:27:01Z |
last_indexed |
2023-09-18T22:27:01Z |
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1777416033949188096 |