Journal of Soft Computing Paradigm
IRO Journals
Volume 1 — Issue 2 — December 2019

SOFT COMPUTING BASED AUTONOMOUS LOW RATE DDOS ATTACK DETECTION AND SECURITY FOR CLOUD COMPUTING

https://doi.org/10.36548/jscp.2019.2.003
S. R. Mugunthan
Associate Professor, Department of computer science and engineering, Sriindu College of engineering and technology, Hyderabad, India
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Mugunthan, S. R. 2019. “SOFT COMPUTING BASED AUTONOMOUS LOW RATE DDOS ATTACK DETECTION AND SECURITY FOR CLOUD COMPUTING”. Journal of Soft Computing Paradigm 1 (2): 80-90. https://doi.org/10.36548/jscp.2019.2.003.
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Keywords

— Soft Computing
— Low Rate DDOS
— Attack Detection Security Measure and Cloud Computing
Published: 31-12-2019

Abstract

The fundamental advantage of the cloud environment is its instant scalability in rendering the service according to the various demands. The recent technological growth in the cloud computing makes it accessible to people from everywhere at any time. Multitudes of user utilizes the cloud platform for their various needs and store their complete details that are personnel as well as confidential in the cloud architecture. The storage of the confidential information makes the cloud architecture attractive to its hackers, who aim in misusing the confidential/secret information's. The misuse of the services and the resources of the cloud architecture has become a common issue in the day to day usage due to the DDOS (distributed denial of service) attacks. The DDOS attacks are highly mature and continue to grow at a high speed making the detecting and the counter measures a challenging task. So the paper uses the soft computing based autonomous detection for the Low rate-DDOS attacks in the cloud architecture. The proposed method utilizes the hidden Markov Model for observing the flow in the network and the Random forest in classifying the detected attacks from the normal flow. The proffered method is evaluated to measure the performance improvement attained in terms of the Recall, Precision, specificity, accuracy and F-measure.

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