DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACK DETECTION IN CLOUD ENVIRONMENTS USING MACHINE LEARNING ALGORITHMS

DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACK DETECTION IN CLOUD ENVIRONMENTS USING MACHINE LEARNING ALGORITHMS
Author(s):
Sathish Polu, Dr.V.Bapuji
Keywords:

Abstract
As cloud computing becomes an integral component of modern information technology infrastructures, the vulnerability of cloud environments to Distributed Denial of Service (DDoS) attacks poses a significant threat to the availability and performance of cloud-hosted services. This research addresses the imperative need for effective DDoS attack detection in cloud environments by leveraging machine learning algorithms. Through a comprehensive exploration of the existing literature, this study synthesizes knowledge on DDoS attack characteristics, the unique challenges posed by cloud environments, and the role of machine learning in enhancing cybersecurity. The research concludes by summarizing key findings and emphasizing the contributions to the field. Ultimately, this study underscores the critical role of machine learning in fortifying cloud security against DDoS attacks, offering a foundation for further advancements in cloud cybersecurity.
Article Details
Unique Paper ID: 162066 Publication Volume & Issue: Volume 9, Issue 7 Page(s): 927 - 934
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