• Dr. Lalit Kishore
• Mr. Naved

The threats of malware and cyber-attacks are rapidly increasing, and network protection and cyber security are the major issues in now a day for online communities. But the machine learning opens the new doors of huge opportunities in cybersecurity, because traditional approaches of network protection need human intervention to find and remove the vulnerability. Implementation of machine learning in cyber security made the stronger malware detection process, more active, accessible, and efficient than previous methods. The cybersecurity field facing several challenges in machine learning techniques which are need to be improved effectively. This paper includes various machine learning approaches which proven effective implementation to remove and detect most of the cyber-attacks. These approaches and models are most effective to develop reliable and secure systems.

cybersecurity; machine learning; cyber-attacks; network protection.

"Future Challenges and Convalescences in Machine Learning-based Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.h639-h651, October-2023, Available :http://www.jetir.org/papers/JETIR2310680.pdf

"Future Challenges and Convalescences in Machine Learning-based Cybersecurity", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. pph639-h651, October-2023, Available at : http://www.jetir.org/papers/JETIR2310680.pdf