JOURNAL ARTICLE

Android System Invasion using Machine Learning.

  • Published In: Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 3. P. 2715 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Kumar, M. Senthil; Devi, R. Vaishnavi; Sabarigiridharan, A.; Ranjith, P. V. 3 of 3

Abstract

Android innovation is a kind of OSS (open source programming), which is a sort of programming promptly accessible with a source code that isn't held elite by intellectual property regulations. Android is designed according to the Linux portion, the primary working arrangement of free and open-source programming. Android is made particularly for cell phones and incorporates programming that offers normal types of assistance for PC applications, middleware, which allows various applications to run simultaneously or interface, and numerous other key applications like informal communication, games, and business modules. Android innovation has various expected advantages to potential purchasers. Android is fueled by an open-source programming stack, and that implies it is allowed to acquire and can be gotten to from the Web. Since Android has more honors, the assailant can ready to get sufficiently close to different fields. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Grenze International Journal of Engineering & Technology (GIJET). 2024/01, Vol. 10, Issue 1, Part 3, p2715
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2024
  • ISSN:23955287
  • Accession Number:175658447
  • Copyright Statement:Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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