FMDB Transactions on Sustainable Computer Letters
Submit Paper
Navigation
FTSCL Home- Editorial Board
- Current Issue
- Indexing
- Forthcoming Articles
- Ethical Standards and Transparency in Publishing Standards (E-STaPS)
Archives
- Vol. 4
- Vol. 3
- Vol. 2
- Vol. 1
Archiving
Fernando Martins De Bulhão is a member of
FMDB Transactions on Sustainable Computer Letters
2025 Vol.3 No.3
ISSN: 2994-5305
Editor: Stefano Cirillo
| Pages | Title and author(s) |
|---|---|
| 116-125 | Implementing AI-Based Real-Time Monitoring Systems to Combat DDoS Attacks Surya Lokesh Bhargav Pentakota Keywords: Artificial Intelligence; Machine Learning; Real-Time Monitoring; Network Security; Distributed Denial of Service (DDoS); Random Forest Classifier; DDoS Attacks; Cybersecurity Frameworks. DOI: 10.69888/FTSCL.2025.000427 |
| 126-135 | AI-Powered Framework for Proactive Monitoring of Dark Web Marketplaces and Prediction of Emergent Cybercrime Trends Vamshidhar Reddy Vemula Keywords: Cybercrime Trends; Long and Short-Term Memory; Natural Language Processing; BERT Model; Tensor Flow and Keras; Artificial Intelligence; Trend Matching; Illegal Trade. DOI: 10.69888/FTSCL.2025.000428 |
| 136-149 | Automated Classification and Answer Extraction for Open-Ended and Closed-Ended Questions in Natural Language Texts S. Benila, Lekshmi Kalinathan, Athish Subba Reddi Ramanathan, K. Devi, Janaki Meena, Vidhula Sundhari Ganesh, Vijesh Varadharajan Keywords: Question Answering; BERT and LSTM; Bidirectional LSTMs; Exact Match; Recurrent Neural Networks; Contextual Features; Natural Language Processing; Entity Features; Confidence Scoring. DOI: 10.69888/FTSCL.2025.000429 |
| 150-157 | AI-Driven Anomaly Detection Frameworks for Real-Time Payment System Compliance Padma Vayuvegula Keywords: Anomaly Detection; Artificial Intelligence; Real-Time Payments; Financial Compliance; Machine Learning; Financial Transactions; Deep Learning; Transactional Data; Precision and Efficiency. DOI: 10.69888/FTSCL.2025.000430 |
| 158-172 | FoolNN: Block-Sparse Multi-Objective Crafting Text Adversarial Samples for Text-Fooling Attack on Sentiment Classification Using Automatic Differentiation Balika J. Chelliah, T. K. Harikishan, Priyanga Durairaj, G. Manoj Kumar Keywords: Membership Inference Attack; Deep Neural Network; Adversarial Attacks; Machine Learning; NLP Models; Robustness and Security; Effective Attacks; Fraud Detection. DOI: 10.69888/FTSCL.2025.000431 |