Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
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|
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Article Number | 21004 | |
Number of page(s) | 6 | |
Section | Business Intelligence | |
DOI | https://doi.org/10.1051/e3sconf/201912521004 | |
Published online | 28 October 2019 |
DoS Attack Prevention Using Rule-Based Sniffing Technique and Firewall in Cloud Computing
1 Data Entry and Update Taxpayer’s Registry in Rwanda Revenue Authority (RRA) Kigali - Rwanda
2 Master of Information System, School of Postgraduate Studies Diponegoro University, Semarang – Indonesia
* Corresponding author: alexkagiraneza@gmail.com
Nowadays, we are entering an era where the internet has become a necessary infrastructure and support that can be applied as a means of regular communication and data service. In these services, cloud-based on servers has an essential role as it can serve numerous types of devices that are interconnected with several protocols. Unfortunately, internet cloud servers become the main target of attacks such as Denial of Service (DoS), Distributed Denial of Service (DDoS). These attacks have illegal access that could interfere in service functions. Sniffing techniques are typically practiced by hackers and crackers to tap data that passes through the internet network. In this paper, sniffing technique aims to identify packets that are moving across the network. This technique will distinguish packet on the routers or bridges through a sniffer tool known as snort connected to a database containing the attack pattern. If the sniffing system encounters strange patterns and recognizes them as attacks, it will notify to the firewall to separate the attacker's original Internet Protocol (IP) address. Then, communication from the attacker's host to the target will be discontinued. Consequently, the identified attack activity will stop working, and the service will proceed to run.
Key words: Security / Sniffing and Firewall / Denial of Service attack prevention
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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