Author Login IJIRT Partner Network (IPN) Login

Deep Learning-based Security and Usability Analysis Framework for Mobile Android Applications

  • Unique Paper ID: 175558
  • Volume: 11
  • Issue: 11
  • PageNo: 3069-3074
  • Abstract:
  • Fast mobile applications raise the importance for building effective scalable evaluation methods so as to answer issues pertaining to security issues to even those regarding usability issues. Typically, most conventional evaluation approaches do not support depth scalability thus becoming important enough to handle through advanced techniques of machine learning. The article makes a new proposition where there are large language models that also use the LSTM network providing an overarching framework used when assessing Android applications. Specif- ically, we make use of LLMs such as GPT (Generative Pre-trained Trans- former) that supports security assessment tasks, which include vulner- ability detection, code review, and identifying the patterns of security- related behaviors in application behavior. Meanwhile, we employ LSTM networks trained on user interaction data to generate usability scores in reflection of the general experience of the user. This is what synergistic integration of LLMs for security evaluation and LSTMs for usability as- sessment can offer: a dual focus approach to provide a more holistic view of an application’s strengths and weaknesses. Our framework is designed to automate and scale the evaluation process, providing actionable in- sights to developers and stakeholders. In fact, our approach is validated by conducting extensive experiments on a diverse set of Android appli- cations, including security vulnerabilities and feedback from users. The results show that our approach is capable of giving accurate, timely, and cost-effective assessments of both security and usability, thus helping improve the overall evaluation process for mobile applications.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 3069-3074

Deep Learning-based Security and Usability Analysis Framework for Mobile Android Applications

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry