@inproceedings{5b77f8fa4a3e4f3fb5f7e5a7683f9e65,
title = "Statistical-based filtering system against DDOS attacks in cloud computing",
abstract = "A Distributed Denial of Service (DDOS) attack can make huge damages to resources and access of the resources to genuine users. Offered defending system cannot be easily applied in cloud computing due to their relatively low competence and wide storage. In this work we presented statistical technique to detect and filter DDOS attacks. The proposed model requires small storage and ability of fast detection. The obtained results show that our model has the ability to mitigate most of TCP attacks. Detection accuracy and Time consumption were the metrics used to evaluate the performance of our proposed model. From the simulation results, it is visible our algorithms achieve high detection accuracy (97\%) with fewer false alarms.",
keywords = "Cloud Security, Distributed Denial-of-Service (DDOS), Filtering, Information Divergence",
author = "Pourya Shamsolmoali and Masoumeh Zareapoor",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 ; Conference date: 24-09-2014 Through 27-09-2014",
year = "2014",
month = nov,
day = "26",
doi = "10.1109/ICACCI.2014.6968282",
language = "英语",
series = "Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1234--1239",
editor = "Sougata Mukherjea and Dilip Krishnaswamy and Peter Mueller and Comer, \{Douglas E.\} and Bhawna Mallick and Axel Sikora and Thampi, \{Sabu M.\}",
booktitle = "Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014",
address = "美国",
}