An approach for detecting and preventing DDoS attacks in campus
- 作者: Merouane M.1
-
隶属关系:
- Department of Electronics
- 期: 卷 51, 编号 1 (2017)
- 页面: 13-23
- 栏目: Article
- URL: https://journal-vniispk.ru/0146-4116/article/view/174845
- DOI: https://doi.org/10.3103/S0146411616060043
- ID: 174845
如何引用文章
详细
Nowadays, Denial of Service (DoS) attacks have become a major security threat to networks and the Internet. Therefore, even a naive hacker can launch a large-scale DoS attack to the victim from providing Internet services. This article deals with the evaluation of the Snort IDS in terms of packet processing performance and detection. This work describes the aspect involved in building campus network security system and then evaluates the campus network security risks and threats, mainly analyses the attacks DoS and DDoS, and puts forward new approach for Snort campus network security solutions. The objective is to analyze the functional advantages of the solution, deployment and configuration of the open source based on Snort intrusion detection system. The evaluation metrics are defined using Snort namely comparison between basic rules with new ones, available bandwidth, CPU loading and memory usage.
作者简介
Mehdi Merouane
Department of Electronics
编辑信件的主要联系方式.
Email: mmehdi_m@hotmail.com
阿尔及利亚, Route Soumaa, Blida
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