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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
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | Malware Detection System Based On PE File And URL Analysis Using Machine Learning |
| Authors Name: | Aditi Todi , Prof B Prajna , Adapureddi Saranya , A. Sharon Sanjana , Amujuri Keerthana |
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IJRTI_202286
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| Published Paper Id: | IJRTI2504102 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | With the exponential increase in internet-connected systems and services, cyber threats have grown in complexity and scale. One of the most prevalent forms of cyber threats is malware, often delivered through executable files or malicious URLs. This paper presents a comprehensive malware detection system that integrates two detection mechanisms—Portable Executable (PE) file analysis and URL analysis—leveraging machine learning techniques for classification. The PE file detection module extracts structural and statistical features using pefile [8], while the URL scanner relies on lexical analysis with TF-IDF [3] vectorization. A Flask web application serves as the user interface, allowing users to upload executable files or input URLs for malware detection. The system achieves high accuracy using Random Forest and Logistic Regression models, respectively, and demonstrates the practicality of ML-based approaches in proactive threat detection. |
| Keywords: | Malware Detection, Portable Executable, URL Analysis, Machine Learning, Flask, TF-IDF, PE Header Features, Logistic Regression, Random Forest |
| Cite Article: | "Malware Detection System Based On PE File And URL Analysis Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b6-b11, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504102.pdf |
| Downloads: | 000325 |
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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: IJRTI2504102
Registration ID:202286
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b6-b11 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504102 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504102 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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