Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65190
Volume:
10 |
6 |
Jun 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
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.
Department of Computer Applications
Christ College of Engineering and Technology
Assistant Professor,Department of Computer Applications,
Christ College of Engineering and Technology
The increasing proliferation of Android applications and the widespread distribution of APK files through unofficial third-party sources have significantly elevated concerns regarding mobile security, malware threats, and application vulnerabilities. Most users install applications without understanding the risks associated with excessive permissions, hidden malicious code, or suspicious behaviors embedded within APK files. This paper presents APK Sentinel, a comprehensive Android application security analysis platform designed to identify vulnerabilities, detect malware indicators, and evaluate potential threats within APK files. The system enables users to upload APK files and perform automated security analysis through a structured scanning process involving manifest extraction, permission evaluation, and suspicious activity identification. The platform calculates malware and privacy risk scores and classifies applications based on threat levels to support informed installation decisions. Built using Flutter and Firebase, the system incorporates dashboard analytics, PDF report generation, scan history management, and cloud-based data handling. APK Sentinel serves as a practical cybersecurity solution for improving Android application security awareness and supporting vulnerability assessment processes. [1][2]
KEYWORDS
APK Sentinel demonstrates the strong potential of intelligent mobile security platforms in improving Android application safety by providing automated vulnerability detection, permission analysis, malware risk classification, and comprehensive security reporting within a unified and user-friendly environment. The system successfully transforms raw APK data into actionable security intelligence through systematic manifest analysis and predefined threat detection mechanisms. The modular architecture implemented using Flutter, Firebase, Archive, XML, and Crypto packages ensures that the platform remains scalable, maintainable, and adaptable to future mobile security requirements. The cloud-based deployment model leveraging Firebase services removes traditional barriers to APK security assessment, making professional-grade analysis capabilities accessible to individual users, developers, and organizations of varying technical sophistication [8][17]. Comprehensive testing activities encompassing unit testing, integration testing, functional testing, validation testing, and system testing have confirmed that all platform modules function correctly both independently and as an integrated system. Test results demonstrate that APK Sentinel reliably performs its core functions of user authentication, APK extraction, permission analysis, malware detection, report generation, and scan history management under realistic operational conditions [13]. APK Sentinel acts as a foundational step toward improving Android security awareness and mobile application vulnerability assessment practices. The platform's design and implementation provide valuable insights into the practical engineering challenges of building real-world mobile cybersecurity tools, contributing meaningfully to the growing body of accessible and open security tooling available to the Android developer and user community [19].
[1] NIST, Mobile Device Security: Corporate-Owned Personally-Enabled Devices, NIST Special Publication 1800-4, 2016. [2] Enck, W., Gilbert, P., Chun, B.G., Cox, L.P., Jung, J., McDaniel, P. and Sheth, A.N., TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones, ACM Transactions on Computer Systems, 2014. [3] Verizon, Mobile Security Index Report, Verizon Enterprise Solutions, 2023. [4] Zhou, Y. and Jiang, X., Dissecting Android Malware: Characterization and Evolution, IEEE Symposium on Security and Privacy, 2012. [5] Firebase Documentation, Firebase Authentication and Cloud Firestore Security Rules, Google Developers, 2024. [6] Flutter Documentation, Flutter Framework Architecture and Widget System, Google Developers, 2024. [7] Android Security Team, Android Security Best Practices and Permission Model, Google Android Developer Documentation, 2023. [8] Felt, A.P., Ha, E., Egelman, S., Haney, A., Chin, E. and Wagner, D., Android Permissions: User Attention, Comprehension, and Behavior, ACM Symposium on Usable Privacy and Security, 2012. [9] Li, M., Data-Driven Security Analytics for Mobile Application Environments, Data Science and Security Review, 2019. [10] Sharma, K., Scope of Machine Learning in Mobile Application Security Analysis, International Journal of Cybersecurity Research, 2022.
Publication Date
6/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...