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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 : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Deep Threat Eye: A Vision-based Analysis Using CNN |
| Authors Name: | M. Lakshmi Gayathri , M. Sion Kumari , Md. Afrin Fathima , M. Prasanna Lakshmi , M. Venkata Yamini |
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IJRTI_202263
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| Published Paper Id: | IJRTI2504091 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The existing static and dynamic analysis techniques largely depend upon the time-consuming manual extraction of features and are less effective on the rapidly developed malware variants. To tackle these issues, this study presents an approach for vision-based malware detection using convolutional neural networks (CNNs). In the proposed approach, binary executable files are transformed into grayscale images that CNNs can use directly to learn high-level patterns that separate malware from benign applications. The architecture mainly contains sequential convolutional layers for extracting informative visual features from the transformed images, max pooling layers to reduce the computation cost, and fully connected layers for determining whether the files are benign or malicious. The Dataset with over 200,000 samples, include benign files, and malicious files is used to train and test our model. Test results revealed an 88.64% accuracy of the CNN-based method to detect malware from benign software applications. |
| Keywords: | Malware detection, convolutional neural networks (CNNs), deep learning, vision-based analysis, grayscale images, real-time detection. |
| Cite Article: | "Deep Threat Eye: A Vision-based Analysis Using CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a728-a733, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504091.pdf |
| Downloads: | 000313 |
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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: IJRTI2504091
Registration ID:202263
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a728-a733 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504091 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504091 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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