A Recurrence Quantification Analytical Approach to Detect DDoS Attacks

Distributed Denial of Service (DDoS) is a type of attack in the application layer initiated from the various hosts to a single web server. The aim of this attack is to consume all the resources of the targeted system by exploiting the vulnerability. We proposed a mathematical model called Recurrence...

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Bibliographic Details
Main Authors: Jeyanthi, N., Vinithra, J., Sneha, S., Thandeeswaran, R., Iyengar, N. Ch Sriman Narayana
Format: Conference Proceeding
Language:English
Subjects:
Computer crime
DDoS attacks
Educational institutions
Entropy
Mathematical model
Measurement
RQA
Web servers
web traffic
Online Access:Request full text
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Summary:Distributed Denial of Service (DDoS) is a type of attack in the application layer initiated from the various hosts to a single web server. The aim of this attack is to consume all the resources of the targeted system by exploiting the vulnerability. We proposed a mathematical model called Recurrence Quantification Analysis (RQA) for detecting the DDoS attacks by computing entropy and determinism of selected packet attributes. To detect the anomalies and check the performance we considered the live traffic traces from the network and various RQA parameters like entropy, laminarity and determinism were used to determine the uncertainty or randomness in the dataset.
DOI:10.1109/CICN.2011.12