Expanded DDOS Attacks Detection Using Snort Rules
U Surya Kameswari1, Suneetha Bulla2, Suresh Babu Chendolu3
1U Surya Kameswari, Assistant Professor, Acharya Nagarjuna University, (Andhra Pradesh), India.
2Suneetha Bulla, Research Scholar, Acharya Nagarjuna University, (Andhra Pradesh), India.
3Suresh Babu Chendolu, Research Scholar, Acharya Nagarjuna University, (Andhra Pradesh), India.
Manuscript received on 13 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1973-1976 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F13550476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The major defect in network is Denial of service (DoS) attacks. In this paper, the aim is to provide the clear picture of the DoS attacks and major defense technologies in the web and wireless networks. Many research have been done on attacks in wireless networks. One of the most network affected attacks are packet flooding. This will increase the traffic in network to reduce the performance of the network. Many MNC companies like Microsoft faced the DDoS attacks problem called My Doom. It is very challenging issue to identify the attacks in the starting stage and it is required to provide security for the network resources. The past existing system has done efficient work regarding the prevention of attacks from DDoS. But this is not that extent to solve the issue. This paper proposes the Enhanced fire col adopted with IPS rules for the DDoS detection technique that observes the different parts of data packets from the top. This will remove the other dos attacks like Slow Read DoS attack. Due to the lack of accuracy and less overhead, and it supports the execution in real networks are implemented.
Keywords: DoS, Fire Col, IPS Rules, Snort Rules.
Scope of the Article: Social Sciences