International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

ARISCOPE: Enhancing Mobile Application Security through App Clone Detection and Intellectual Property Protection

Author(s) Mr. B.M. Shamsul Arifin, Prof. Dr. Amit Kumar Mondal, Prof. Dr. Manishankar Mondal
Country Bangladesh
Abstract Android apps are growing very fast, and now there are millions of apps in many categories. Because of this, app copying and repackaging have also increased. Some developers copy existing apps and make small changes. This can harm original developers, reduce user trust, and create security problems.
Detecting these copied apps is challenging. Many apps use the same third-party libraries. Also, small changes like renaming variables, methods, or package names can hide the similarity. Another problem is that comparing every app with all others takes too much time when the dataset is large.
In this paper, we call our approach ARISCOPE, a multi-stage method to detect copied Android apps. The proposed approach works in several stages. First, it removes common library code. Then, it groups similar apps so that we do not compare everything. After that, it quickly removes apps that are clearly different. Finally, it checks structure, design, and UI features together to decide if two apps are copies.
It finds about 90% of the copied apps, including 10 known copied pairs. The results show that the method works well. It finds most of the copied apps and gives results with strong accuracy: Precision =
1.00 and Recall = 0.90. It also reduces comparisons from 8128 to only 364 detailed checks. The total running time is about 13 minutes. This shows that the method is simple, fast, and useful for real use.
Keywords Android Clone Detection, Application Repackaging, Static Analysis, Scalable Filtering, Library Normalization
Field Computer > Network / Security
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-30
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.77800

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