A New Clustering Approach for Anomaly Intrusion Detection

Authors

  • Prof. Nidhi S Bhavsar  Reseach Scholar, Madhav University, Pindwara , Rajasthan, India
  • Dr. Khushbu Yadav  Assistant Professor, Madhav University, Pindwara , Rajasthan, India
  • Dr. Darshanaben Dipakkumar Pandya   Associate Professor, Department of Computer Science, Shri C.J Patel College of Computer Studies(BCA), Sakalchand Patel University, Visnagar, Gujarat, India

DOI:

https://doi.org/10.32628/IJSRST52310667

Keywords:

AI, Handling, Cancer Detection, AI psychotherapists

Abstract

This study looks into the possibilities and related challenges of using artificial intelligence (AI) to identify cancer. AI technologies have become attractive tools in oncology because of the growing complexity of medical data and the need for precise and timely cancer diagnosis. In reviewing the state of AI applications for cancer detection today, the paper focuses on biomarker analysis, medical imaging, and biomarker analysis. Additionally continuing conversation on how to use technology to improve cancer diagnostics' efficiency and accuracy while maintaining ethical norms and patient safety.

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International Journal of Scientific Research in Science and Technology

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Published

2024-02-29

Issue

Volume 11, Issue 1, January-February-2024

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Nidhi S Bhavsar, Dr. Khushbu Yadav, Dr. Darshanaben Dipakkumar Pandya "A New Clustering Approach for Anomaly Intrusion Detection" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 11, Issue 1, pp.127-134, January-February-2024. Available at doi : https://doi.org/10.32628/IJSRST52310667