SECURITY ATTACKS DETECTION IN CLOUD USING MACHINE LEARNING ALGORITHMS :A SURVEY

Authors

  • Monika V. Nanane B.E. Student, Department of Computer Science & Engineering PRMITR, Badnera Amravati, India
  • Ankit R. Mune Assistant Professor, Department of Computer Science & Engineering PRMITR, Badnera Amravati, India
  • Mrunal G. Khandade B.E. Student, Department of Computer Science & Engineering PRMITR, Badnera Amravati, India

Keywords:

Security attacks, Machine learning algorithms, Detection.

Abstract

Cloud computing is an evolving technology that provides reliable and scalable on-demand resources and different services to users with fewer infrastructures cost. Even though the cloud has many advantages it faces many drawbacks like vulnerability to attacks, network connectivity dependency, downtime, vendor lock-in, limited control. From the abovementioned disadvantages, a security attack is the main drawback in the cloud. There are various security attacks like Denial-of-service (DOS) attack, SQL injection attack, Side channel attack, Man-in-the-middle attack, Authentication attack. To detect this attack in the cloud the machine learning algorithm like Support vector machine (SVM), Naive Bayes, Decision tree, Logistic regression, Ensemble methods can be used. We will mainly focusing on various security known and unknown attacks in the cloud such as Authentication attack, SQL injection attack and Denial of service attack.And the machine learning algorithms such as Support vector machine is used for detecting these attacks.

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Published

2019-11-20

How to Cite

Monika V. Nanane, Ankit R. Mune, & Mrunal G. Khandade. (2019). SECURITY ATTACKS DETECTION IN CLOUD USING MACHINE LEARNING ALGORITHMS :A SURVEY. International Engineering Journal For Research & Development, 4(7), 6. Retrieved from http://www.iejrd.com/index.php/ /article/view/415

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Articles