Asian journal of information technology

Wednesday, October 30, 2019

549 Voices

Security has been becomes an important challenge to secure the network from cyber-attacks. Various tools that are required for security purposes are firewalls, passwords, IDS for the detection of attacks and prevent it from sending out the harmful traffic to the traffic. This paper present statistical based intrusion detection technique based on chi square to detect DDoS attack by calculating the expected and observed frequencies. In this case traffic is containing in a dataset of certain interval. Traffic is contained from a backscatter dataset. This approach can effectively detect the DDoS attack.
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Asian Journal of Information Technology (2019 Volume 18)

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Asian Online Journals

The journals provide forum and encourages scientists, researchers, academics, engineers, and practitioners in all aspects to share their professional and academic knowledge in the fields computing, engineering, science humanities, social sciences, management, economics, medical science, and related disciplines. Asian Online Journals also aims to reach a large number of audiences worldwide with original and current research work completed on the vital issues of the above important disciplines. All the journals of AOJ adopt an open access model that rapidly disseminates an author's work worldwide and increases its impact. The journals permit all readers to view, download and print the full-text of all published articles without any subscription or restrictions.
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Asian Online Journals


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