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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | OPTIMISING SECURITY THREATS WITH OPEN-SOURCE THREAT INTELLIGENCE |
| Authors Name: | Muhammed Shavaf P V , Meenakshi S Nair , Nadhiya Abdul Rasheed , Muhammed Fayas K Y , Athira Babu M |
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IJRTI_203522
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| Published Paper Id: | IJRTI2505081 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Threat intelligence is essential for staying ahead of today’s ever-evolving cyber threats, providing organizations with the insights they need to proactively protect their systems and data. By understanding new threats and attacker behaviors, businesses of all sizes especially in high-risk sectors like banking and softwarecan build stronger defenses and minimize risk. As cyberattacks become more sophisticated, Cyber Threat Intelligence (CTI) tools play a vital role in helping security teams respond quickly and effectively. These tools use real-time data, machine learning, and threat analytics to detect potential risks, identify Indicators of Compromise (IOCs), and analyze attacker tactics, techniques, and procedures (TTPs). By consolidating and interpreting data from multiple sources, CTI solutions empower teams to make informed decisions, prioritize threats, and streamline their incident response. Our project supports this effort by making threat analysis and risk monitoring easier, ultimately helping organizations improve their overall cybersecurity posture. |
| Keywords: | Behavioral Predictive Modeling, Cybersecurity, Structural Equation Modeling, Source Trustworthiness. |
| Cite Article: | "OPTIMISING SECURITY THREATS WITH OPEN-SOURCE THREAT INTELLIGENCE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a679-a685, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505081.pdf |
| Downloads: | 000457 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505081
Registration ID:203522
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a679-a685 Country: Kannur, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505081 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505081 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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