REAL TIME DELAY TOLERANT FEATURE APPROXIMATION TECHNIQUE FOR DDOS ATTACK DETECTION TO IMPROVE NETWORK PERFORMANCE

The performance of network highly depends on different metrics like throughput, latency, and security of packet delivered. All these three factors are interconnected and there exists various malicious threats for the packets, which pass through the network channels. Modern adversaries perform variou...

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Bibliographic Details
Published in:ARPN journal of engineering and applied sciences 2015-10, Vol.10 (18), p.8121-8128
Main Authors: Devi, V Shyamala, Umarani, R
Format: Article
Language:English
Subjects:
Approximation
Channels
Delay
Denial of service attacks
Malware
Mathematical analysis
Networks
Packets (communication)
Online Access:Get full text
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Summary:The performance of network highly depends on different metrics like throughput, latency, and security of packet delivered. All these three factors are interconnected and there exists various malicious threats for the packets, which pass through the network channels. Modern adversaries perform various threats like modification, spoofing, sinkholes and many more. To safeguard the network packets from these attacks, the researchers have proposed different approaches with different attributes of packets. Still there are many issues, which do not considered to overcome the problem of, network threats, For example the DDoS approach uses features like payload, TTL, Hop count, Hop addresses. This article aims at performing DDoS attack detection in different forms like Identifying botnet, Delay tolerant features based detection, Flow based approximation and so on. The proposed method uses various features in a different way. All the approaches are interlinked to perform the DDoS attack so that the performance of the network could be improved.
ISSN:1819-6608
1819-6608