• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   RTEÜ
  • Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
  • WoS İndeksli Yayınlar Koleksiyonu
  • View Item
  •   RTEÜ
  • Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
  • WoS İndeksli Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Cusum - Entropy: An efficient method for DDoS attack detection

Thumbnail

View/Open

Full Text / Tam Metin (439.0Kb)

Access

info:eu-repo/semantics/closedAccess

Date

2016

Author

Özçelik, İlker
Brooks, Richard R.

Metadata

Show full item record

Citation

Ozcelik, I. & Brooks, R.R. (2016). Cusum - Entropy: An efficient method for DDoS attack detection. 2016 4Th International Istanbul Smart Grid Congress and Fair (Icsg), 85-89.

Abstract

Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of growing dependence, the availability of these systems has become a concern. This concern increases exponentially when considering systems such as smart power grids and public utility services. Therefore, research should be conducted to develop effective ways of detecting system anomalies. Denial of Service attacks are an important problem for the communication systems. Researchers proposed many DDoS detection approaches. in this study, we propose a novel DDoS detection approach: Cusum - Entropy. Our approach performs additional signal processing on the entropy of the packet header field to improve detection efficiency. We tested our approach using operational network traffic and performing DDoS attacks without jeopardizing the operation network. Our results showed that our approach gives high detection and low false positive rates and outperforms the detection approach using the entropy of packet header field.

Source

2016 4Th International Istanbul Smart Grid Congress and Fair (Icsg)

URI

https://hdl.handle.net/11436/2635

Collections

  • Bilgisayar Mühendisliği Bölümü Koleksiyonu [47]
  • Scopus İndeksli Yayınlar Koleksiyonu [5990]
  • WoS İndeksli Yayınlar Koleksiyonu [5260]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Instruction | Guide | Contact |

DSpace@RTEÜ

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution AuthorThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution Author

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Guide|| Instruction || Library || Recep Tayyip Erdoğan University || OAI-PMH ||

Recep Tayyip Erdoğan University, Rize, Turkey
If you find any errors in content, please contact:

Creative Commons License
Recep Tayyip Erdoğan University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@RTEÜ:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.