A5061042648- Advanced Malware Detection Techniques
- Online Learning and Analytics
- Network Security and Intrusion Detection
- Digital and Cyber Forensics
- Software Engineering Techniques and Practices
- Spam and Phishing Detection
- Recommender Systems and Techniques
- Advanced Computing and Algorithms
- Software Engineering Research
- Misinformation and Its Impacts
- Machine Learning and Data Classification
- Image Retrieval and Classification Techniques
- E-Learning and Knowledge Management
National University of Sciences and Technology
2024-2025
University of the Sciences
2025
Shanghai University of Engineering Science
2020
Android malware detection remains a critical issue for mobile security. Cybercriminals target since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas. This paper presents smart sensing model based on large language models (LLMs) developing classifying network traffic-based malware. The traffic that constantly connects apps may contain harmful components damage these apps. However, one of main challenges...
Obfuscated and malicious URLs may lead to harmful content or actions the system, such as downloading malware, phishing, scams, adware. In domain of cybersecurity, identification obfuscated Uniform Resource Locator (URL) is a concerning facet. This study proposes Robust unified TabNet ensemble model for Malicious with feature extraction based on computation features' importance classification. A fine-tuned attention-based deep neural network used extract features URL. The customized data most...
Software engineering is a competitive field in education and practice. projects are key elements of software courses. feature fusion process product. The reflects the methodology performing overall product final produced by applying process. Like any other academic domain, an early evaluation being developed vital to identify at-risk teams for sustainable engineering. Guidance instructor attention can help overcome confusion difficulties low teams. This study proposed hybrid approach...
Coding deliverables are vital part of the software project. Teams formed to develop a project in term. The performance team for each milestone results success or failure intricacy is major issue faced by students as coding believed be complex field demanding skill and practice. Future education demands smart environment understanding students. Prediction level teams can assist cultivating cooperative educational sustainable education. This study proposed boosting-based approach random forest...