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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
Result of Cybersecurity with Machine Learning: Android Malware Detection via GA and CNN
Authors
Pinky Mishra, Prof. Manish Kumar Singhal
Keywords
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Abstract
The exponential rise of mobile devices has significantly increased the attack surface for malicious activities, particularly on the Android platform, which is the most widely used mobile operating system globally. As cyber threats evolve in sophistication, traditional signature-based malware detection techniques struggle to keep up. This paper proposes an advanced approach combining Genetic Algorithms (GA) and Convolutional Neural Networks (CNN) to enhance Android malware detection capabilities.Experimental results demonstrate the proposed model's superior accuracy, precision, and recall compared to traditional methods. By harnessing machine learning techniques, specifically the optimization power of GA and the deep learning capabilities of CNN, this study paves the way for more effective and adaptive Android malware detection systems, capable of combating emerging cyber threats in real-time
IJCRT's Publication Details
Unique Identification Number - IJCRT2410629
Paper ID - 271190
Page Number(s) - f405-f414
Pubished in - Volume 12 | Issue 10 | October 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Pinky Mishra, Prof. Manish Kumar Singhal, "Result of Cybersecurity with Machine Learning: Android Malware Detection via GA and CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 10, pp.f405-f414, October 2024, Available at :http://www.ijcrt.org/papers/IJCRT2410629.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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