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Gustaph Sanga

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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
Review Open access Aug 2026

Blockchain-Based E-Voting for Developing Nations: A Systematic Review and Empirical Evaluation of a Permissioned Prototype for the Tanzanian Electoral Context

These findings support the technical feasibility of the implemented permissioned architecture under controlled conditions, but they do not establish national-scale performance or complete electoral security.

Emmanuel Elly Mushi, Gustaph Sanga, G. Tesha · 0 citations
Review Open access Aug 2026

A Deep Learning Model for Detecting Bullying Content in Swahili SMS Messages in Tanzania

A context-aware deep learning model for binary classification of bullying and non-bullying Swahili SMS messages, an empirically evaluated FastText-BiLSTM architecture, and deployment guidance that positions automated detection as a triage mechanism for human review rather than an autonomous enforcement tool are contrib...

Andrea Peter, Gustaph Sanga, G. Tesha · 0 citations
Review Open access Sep 2026

A Risk-Based Framework for Assessing Cybersecurity Maturity Levels of Savings and Credit Cooperative Societies (SACCOS) in Tanzania

A context-specific Risk-Based Cybersecurity Maturity Assessment Framework for Tanzanian SACCOS is developed and evaluated, demonstrating the framework’s internal coherence, contextual fit, and practical utility for institutional self-assessment and risk-based supervision.

Ayoub Jonathan Kitomari, Gustaph Sanga, S. Wambura · 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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