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A Comparative Study on Capability v/s. Filtering based Defense Mechanisms
by
Shubha Mishra,
R. K. Pateriya
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 11 |
| Year of Publication: 2014 |
| Authors: Shubha Mishra, R. K. Pateriya |
10.5120/16261-5922
|
Shubha Mishra, R. K. Pateriya . A Comparative Study on Capability v/s. Filtering based Defense Mechanisms. International Journal of Computer Applications. 93, 11 ( May 2014), 29-35. DOI=10.5120/16261-5922
@article{
10.5120/16261-5922,
author = {
Shubha Mishra,
R. K. Pateriya
},
title = { A Comparative Study on Capability v/s. Filtering based Defense Mechanisms },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2014 },
volume = { 93 },
number = { 11 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = {
29-35
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume93/number11/16261-5922/
},
doi = { 10.5120/16261-5922 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:36.158767+05:30
%A Shubha Mishra
%A R. K. Pateriya
%T A Comparative Study on Capability v/s. Filtering based Defense Mechanisms
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 11
%P 29-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Denial-of-Service and Distributed Denial-of-Service attacks have been the attack forms with maximum impact on their victims since their origin. The intensity of DDoS attacks is high as the attacker's identity and attack source is safeguarded well behind the bots. Numerous defense mechanisms have been employed to provide robustness against them. In this work, we aim to perform an in-depth study of a few filtering and capability based mechanisms. The advantages and limitations of each along with their architecture and operational services have been discussed in detail. A comparative analysis of their performances with their employment feasibility on the two scales (large or small) had been described as well. The goal of this work is to ease the selection of most robust techniques from these two classifications (filtering and capability based).
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