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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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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| Paper Title: | Android malware detection using Genetic Algorithm based Optimized Feature Selection and Machine Learning |
| Authors Name: | Mr Srinivas , Vusirika Sushma , Sappa Narendra , Manne Thanmai |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192119
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| Published Paper Id: | IJNRD2304444 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Due to its popularity and support, the Android os does have the biggest market share worldwide OS has attracted the attention of cybercriminals who operate mostly through the widespread distribution of malicious software. In order to effectively detect Android malware, this study suggests a machine-learning-based method that makes use of an evolving evolutionary algorithms for such collection appropriate discriminatory features. Machine learning classifiers are taught employing specific features using genetic algorithms, and their performance in identifying malware front and back feature selection is compared. The findings of the experiment confirm that the genetic algorithm gives the much more efficient feature data. For the machine learning-based classifiers, classification accuracy of more than 94% is maintained after feature selection while working on a considerably smaller feature dimension, positively affecting the computational complexity of learning classifiers. |
| Keywords: | Android malware detection, machine learning, genetic algorithms,classifiers. |
| Cite Article: | "Android malware detection using Genetic Algorithm based Optimized Feature Selection and Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e332-e335, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304444.pdf |
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| 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 |
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Published Paper ID:IJNRD2304444 Registration ID: 192119 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: e332-e335 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304444 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304444 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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