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March 5, 2024International Journal of Science and Research (IJSR)Open Access

Maximizing Cyber Security through Machine Learning and Data Analysis for Advanced Threat Detection and Mitigation

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Authors

MKManupreet KaurRama University

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Implication

Randomized analysis demonstrates advanced threat detection in cyber security, suggesting new protective strategies.

Key Points

  • Identifying suspicious activity leads to potentially preventing security breaches before they occur, improving data safety.
  • Significant algorithms applied in machine learning enable real-time detection of cyber threats, enhancing overall security protocols.
  • Analysis of network logs, user behavior, and endpoint devices results in uncovering hidden patterns indicative of sophisticated attacks, boosting mitigation efforts further ahead of breaches' reach when integrated well with risk models and compliance parameters.

Cite This Study

Manupreet Kaur (2024) studied this question.

synapsesocial.com/papers/68e75b2db6db6435876d2b3dhttps://doi.org/10.21275/sr24309130552
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