Paper Title
ROBUST INTELLIGENT MALWARE DETECTION USING DEEP LEARING AND MACHINE LEARNING
Article Identifiers
Authors
KAMMILA DILEEP KUMAR , PRAVEENA GOLTHI , SIRASAPALLI BINDU , S.B. SRI DHARANI , KUSHWANTH KALYAN PILLA
Keywords
Python ,Django ,Mysql ,Wampserver,1. Processor: Pentium IV or higher, RAM: 256 MB,Space on Hard Disk: minimum 512MB,malware detection,
Abstract
Malware remains a significant security concern in today's digital landscape, with traditional detection methods often proving ineffective against evolving threats. Recent approaches leverage machine learning algorithms, particularly deep learning, to analyze malware effectively. However, existing research is often biased due to training data limitations. To address this, this study evaluates classical machine learning and deep learning models for malware detection using diverse datasets. A novel image processing technique is also proposed to enhance detection accuracy. Results show deep learning outperforming traditional methods, paving the way for scalable and real-time malware detection systems.
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How To Cite
"ROBUST INTELLIGENT MALWARE DETECTION USING DEEP LEARING AND MACHINE LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d41-d46, April-2024, Available :https://ijnrd.org/papers/IJNRD2404306.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : d41-d46
Other Publication Details
Paper Reg. ID: IJNRD_214817
Published Paper Id: IJNRD2404306
Downloads: 000121128
Research Area: Engineering
Country: Visakhapatnam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404306.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404306
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
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