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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49767

Chain Defender: A Blockchain-Driven Machine Learning Framework for App Security

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49767

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem49767

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MV

M. Vasuki

DTAV

Dr. T. Amalraj Victoire

C

C.Balaji

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Abstract

Android apps serve various purposes, including productivity, entertainment, communication, gaming, and utility. They leverage the capabilities of smartphones and tablets, providing users with a diverse and customizable experience. However, this widespread adoption has also attracted a darker side in the form of Android malware. Malicious applications, often disguised as legitimate software, exploit vulnerabilities within the Android OS to compromise user security and privacy. Recognizing the critical need to address the escalating threat of Android malware, the project aims to develop a robust Android malware detection system. This projecct intends to provide a proactive defense against evolving malware threats, ensuring the security and integrity of Android users and their devices.

KEYWORDS

Remote Control option UDP Communication Mouse Share Keyboard Input Block

Cite This Article

M. Vasuki, Dr. T. Amalraj Victoire, C.Balaji, "Chain Defender: A Blockchain-Driven Machine Learning Framework for App Security," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem49767

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Publication Date

6/9/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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