Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/449289
Title: Effective credential methods to mitigate the attacks in cloud environment using computational intelligence and block chain
Researcher: Mayuranathan M
Guide(s): Murugan M
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Cloud computing
information technology
Denial of Service
University: Anna University
Completed Date: 2021
Abstract: In recent years, cloud services become more popular among the public and business enterprises on provisioning virtual resources to the clients. Cloud computing (CC) becomes an effective way of accessing services, resources and applications through the Internet. The cloud environment has shifted the interest of business and association towards the deployment and daily maintenance of information technology (IT) facilities by providing a self-service, on-demand, and pay-as-you-go pricing industry models. CC offers the freedom of utilizing resources or services for every need and pay only for requirement. It reduces the needs of hardware as well as software from the user s view. However, in the other perspective, several protection issues have also aroused. Several security-oriented attacks are resolved for the classical CC platform. newlineOn the other hand, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks enable the non-availability of cloud services to genuine users by generating heavy traffic from various devices known as bots. Since various institutions starts migration of their functions online, DoS and DDoS attacks can result in huge financial loss. At present times, diverse research works have been carried out to address several kinds of DoS and DDoS attacks take place in cloud platform. This research work focuses on the design of preventing, detecting and mitigating DDoS attacks in CC environment by the use of artificial intelligence (AI) techniques. The entire newline
Pagination: xvi, 161p.
URI: http://hdl.handle.net/10603/449289
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim pages.pdf2.46 MBAdobe PDFView/Open
03_content.pdf13.07 kBAdobe PDFView/Open
04_abstract.pdf121.4 kBAdobe PDFView/Open
05_chapter 1.pdf465.24 kBAdobe PDFView/Open
06_chapter 2.pdf412.47 kBAdobe PDFView/Open
07_chapter 3.pdf163.59 kBAdobe PDFView/Open
08_chapter 4.pdf802.65 kBAdobe PDFView/Open
09_chapter 5.pdf728 kBAdobe PDFView/Open
10_chapter 6.pdf826.14 kBAdobe PDFView/Open
11_annexures.pdf147.74 kBAdobe PDFView/Open
80_recommendation.pdf65.6 kBAdobe PDFView/Open
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