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AUTHOR(S): Dr. S. Selvam
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ABSTRACT Cloud computing seems to be further advancement among many different recent technologies that allow users to create services on-demand. Cloud computing has achieved benefits as a result of its self-service capability as well as on demand services. This offers significant adaptability to its users, as they simply pay for the services they require, rather than worrying about the expense of equipment or software support. The major benefit of utilizing the cloud based environment in organization is to enhance the data maintenance scheme in easy way as well as improve the integrity of service to avoid manual flaws over maintenance. However, the remote cloud based data maintenance and evaluation leads certain security related threats, especially with Distributed Denial of Service (DDoS) Attacks. These attacks are caused by intruders or hackers to attempt to hack the data presented into the server end or traverse between client and server end. The attacker obtains the data and modifies it according to their convenience without the knowledge of data owner. These kinds of attacks are most dangerous and the confidentiality of the data is totally disturbed due to such threats. This paper is intended to design a novel deep learning strategy called Modified Learning based Cloud Attack Detection (MLCAD), in which it adapts the features from the conventional security handling scheme called Intelligent Attack Identification Strategy (IAIS). This proposed MLCAD approach identifies the DDoS attack over cloud environment by means of analyzing the authorization and authentication logics of the respective user, examine the Internet Protocol (IP) Address mentioned in the relevant request as well as the metadata acquired from the user end. These provisions made the proposed approach MLCAD to act better to identify the DDoS attack in an efficient manner with full significance. The resulting section of this paper provides the proper graphical proofs to prove the integrity and performance of the proposed approach in clear manner. |
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KEYWORDS Cloud Computing, Deep Learning, Attack Detection, MLCAD, Intelligent Attack Identification Strategy, IAIS, DDoS, Data Security |
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Cite this paper Dr. S. Selvam. (2025) A New Frame work for DDoS Attack Detection and Mitigation.. International Journal of Internet of Things and Web Services, 10, 10-18 |
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