PREVENTION AND DETECTION OF INTRUSION IN CLOUD USING HIDDEN MARKOV MODEL

Authors

  • Bhavya Deep Associate Professor, Department of Computer Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India https://orcid.org/0000-0003-4392-1267
  • Aman Jain Student, Department of Computer Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India

DOI:

https://doi.org/10.29121/granthaalayah.v11.i2.2023.5022

Keywords:

Intrusion Detection System (IDS), Security, Threat, Cloud Computing, HMM

Abstract [English]

Cloud computing is one of the fast-growing technologies in recent times. People are adopting cloud services often and they do not possess any other substitute for its services. At the same time, users have to be aware of privacy and security issues in the cloud environment. Due to the distributed nature of cloud computing, multi-domain support, and multi-user platform, the cloud-based system is more vulnerable to security threats. Security threats can be distributed denial of service attacks and intrusion prospects. Thus, organizations need to have techniques like intrusion detection as well as prevention, firewalls, encryption, authentication, etc. for securing the stored information on the cloud. Intruders attempt to identify loopholes to break security. For that, organizations are adopting the system for intrusion detection and prevention to provide privacy and security in the cloud environment. Attacks whether internal or external must be prevented and thus it is significant to adopt the technique of preventing and detection system for identifying intrusion. Therefore, this research intends to study the prevention and detection of intrusion in the cloud environment.

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Published

2023-02-28

How to Cite

Deep, B., & Jain, A. (2023). PREVENTION AND DETECTION OF INTRUSION IN CLOUD USING HIDDEN MARKOV MODEL. International Journal of Research -GRANTHAALAYAH, 11(2), 40–46. https://doi.org/10.29121/granthaalayah.v11.i2.2023.5022