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I. Tende

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Open access Aug 2026

Comparative Evaluation of LSTM, BiLSTM, CNN-LSTM, Random Forest, and XGBoost for Detection of Distributed Denial of Service (DDoS) Attacks Using the CICDDoS2019 Dataset

The results confirm that temporal deep learning architectures substantially outperform classical ML models in detecting multi-class DDoS patterns, with the performance gap being most pronounced for low-frequency and easily confused attack classes such as DRDOS_LDAP, DRDOS_MSSQL, and UDP-LAG.

Godson Samwel, I. Tende, Gustaph Sanga · 0 citations
#small language model Review Open access Aug 2026

A Machine-Learning Model for Phishing Detection in Swahili Messages: A Case of Tanzania

Phishing conducted in Swahili has become a persistent threat to the millions of Tanzanians who depend on mobile-money services, yet the detection tools in common use are built for English and transfer poorly to a language whose morphology, register, and transactional vocabulary differ sharply from it. This study makes...

Rehema Abdallah Njame, Gustaph Sanga, I. Tende · 0 citations

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