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· East African Journal of Info...· 0 citations
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· East African Journal of Info...· 0 citations
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· East African Journal of Info...· 0 citations
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· East African Journal of Info...· 0 citations
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· East African Journal of Info...· 0 citations
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