Paper Title
A DYNAMIC INTELLIGENCE MINING OF CYBER THREATS IN PUBLIC ONLINE ACCESS
Article Identifiers
: Authors
Keywords
Dynamic Intelligence Mining Cyber Threats, Public Online Access, Data Mining, Machin Learning, Threat Detection, Real time Analysis NetworkSecurity, Threat Intelligence User Behavior Analytics Resilience CybersecurityFramework.
Abstract
In the digital age, cyber threats pose significant challenges to the security and integrity of online systems and networks. The dynamic nature of these threats requires sophisticated approaches for their detection and mitigation. This paper proposes a framework for Dynamic Intelligence Mining of Cyber Threats (DIMCT) in public online access environments. DIMCT leverages advanced data mining techniques, machine learning algorithms, and dynamic intelligence gathering mechanisms to detect, analyze, and respond to cyber threats in real-time. The framework integrates various sources of intelligence, including network traffic data, system logs, threat intelligence feeds, and user behavior analytics, to provide a comprehensive view of the threat landscape. Through continuous monitoring and analysis, DIMCT adapts to evolving threats and enhances the resilience of online systems against cyber attacks. Experimental results demonstrate the effectiveness of the proposed framework in identifying and mitigating a wide range of cyber threats in public online access environments, thereby improving the overall security posture of digital infrastructures.
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How To Cite (APA)
SUBASHINI S M C, RISHVANA K, & SHRUTHI A (May-2024). A DYNAMIC INTELLIGENCE MINING OF CYBER THREATS IN PUBLIC ONLINE ACCESS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a604-a610. https://ijnrd.org/papers/IJNRD2405063.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a604-a610
Other Publication Details
Paper Reg. ID: IJNRD_220448
Published Paper Id: IJNRD2405063
Downloads: 000122254
Research Area: Engineering
Author Type: Indian Author
Country: SALEM, TAMIL NADU / तमिलनाडà¥, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405063.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405063
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