A Thread Based Mechine Learning Framework for a Cyber Security Operation Center

Prudhvi Karthik; S. Mari Subbulakshmi

A Thread Based Mechine Learning Framework for a Cyber Security Operation Center

Author(s)	Prudhvi Karthik, S. Mari Subbulakshmi
Country	India
Abstract	The world has become more global, and trade networks have been enhanced exponentially in the few years and yet this has presented a huge playground to these cyber-criminals to carry out these illegal activities. The second and the most challenging is the propagation of bad websites which can perform client-side attacks which in most cases bypass conventional security tools such as the blacklisting which is usually done on a static basis. Because these traditional approaches can hardly cope with the fast changing character of contemporary threats, there has been an urgent necessity to have a more dynamic system of detection. This paper proposes a machine learning system that is specifically designed to work with Cyber Security Operations Centers (SOC) in order to detect malicious URLs in real-time.We combine a wide range of characteristics such as host-based information, page content analysis, and lexical patterns on the URL structure. In the case of predictive engine, we have applied Gradient Boosting algorithm, which is very effective in capturing the non-linear patterns in complex data sets. The preprocessing stage of data cleaning was done in order to make sure that the model is fed with high-quality inputs. The experimental findings indicate that the proposed framework is very reliable and it is able to attain an accuracy of 94.7%. This system provides a scalable answer to security analysts so that they make faster decisions based on the data rather than the need to do everything manually. This framework can be incorporated into the security structures that are in place to offer a significant shield against economic offenses of the web-based nature.
Keywords	Cyber Security, Gradient Boosting, SOC Operations, Malicious Web site detection, machine learning, threat intelligence, feature engineering, network defense.
Field	Computer Applications
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-05-17
Cite This	A Thread Based Mechine Learning Framework for a Cyber Security Operation Center - Prudhvi Karthik, S. Mari Subbulakshmi - IJAIDR Volume 17, Issue 1, January-June 2026.

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A Thread Based Mechine Learning Framework for a Cyber Security Operation Center

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