Authors - Md Manirul Islam, Md. Mushfiqur Rahman , Sazzad Hossain Abstract - Moving IoT-edge systems to post-quantum security is not as simple as replacing one algorithm with another. Different parts of the system have different security needs. Short-lived telemetry, control messages, firmware updates, and trust records should not all be protected in the same way. Device limits are also very different: a tiny leaf sensor, a capable actuator, a gateway, and a cloud service do not have the same memory, energy, or bandwidth budget. This paper presents an adaptive hybrid classical-post-quantum cryptographic framework for such heterogeneous environments. We make four main contributions. First, we define a four-tier system and threat model for resource-constrained IoT-edge deployments. Second, we describe profile selection as a practical decision problem that balances security, latency, energy, memory, and bandwidth. Third, we propose a small profile catalog, P0 to P4, that maps classical, hybrid, and PQ-first choices to real deployment roles. Fourth, we evaluate the framework through a benchmark-grounded experimental emulation using current standards and published device measurements. The main idea is simple: apply the strongest protection where compromise would hurt most, while keeping weak devices usable in the real world.
Authors - Imane Bari, Mounir Oubenyahya, Abdellatif Aziki, Fouad Achemchem Abstract - Climatic conditions and water scarcity in the Souss Massa region of Morocco are causing a significant decline in fodder supply and threatening the continuity of dairy farming. In response to these structural constraints, dairy cooperatives have adopted hydroponic green fodder (HGF) cultivation, an approach that reduces water consumption and frees agricultural land for higher-value crops. This study analyses the financial performance and structural effects of HGF adoption in two dairy cooperatives selected as pilot cases. Using a descriptive and explanatory methodology based on accounting and financial records collected over 4 to 6 years, combined with a non-parametric econometric model, the study assesses production costs, financial viability indicators, and the effect of innovation on key financial ratios. Results confirm the financial viability of the HGF investment and document its temporary effects on financial independence and self-financing capacity, while highlighting the social dimension of this innovation in preserving livestock farmers’ livelihoods.
Authors - Swetha P. , Maniratnam, Prasad B Honnavalli Abstract - The dark web has been identified as a major source of organizational risk, facilitating underground markets for stolen credentials, proprietary data, and pre-attack threat intelligence. An organization lacking visibility in these underground marketplaces faces attacks entirely beyond conventional monitoring solutions. This paper introduces a realtime dark web monitoring system integrating anonymous browsing via Tor, Selenium WebDriver, and open-source Wazuh Security Information and Event Management (SIEM) to create a unified threat intelligence solution. The system performs continuous keyword searching for organizational name references and autonomously browses authenticated dark web marketplaces for content extraction. Identified events are serialized as structured JSON messages and ingested into Wazuh via custom decoder and rule definitions, providing actionable alerts on the analyst dashboard within seconds. The system has been evaluated over 24-hour continuous sessions on two live dark web markets, achieving 95% keyword detection accuracy, 1.4 seconds average alert latency to dashboard, and stable long-duration browser operation without application crashes. The system requires no commercial licensing, is fully configurable to organizational targets, and features native SIEM integration, making it a viable and accessible solution compared to proprietary dark web intelligence services.
Authors - Pam Cole Abstract - As artificial intelligence transitions from passive tools to autonomous agents, governance frameworks designed for slower systems are being asked to contain behavior they were not engineered to address. Two converging forces widen the resulting gap. Synthetic Trust describes the industrialization of unearned credibility, where AI systems simulate socio-emotional cues to suppress verification. Ungoverned Acceleration describes autonomous execution at a pace that outruns institutional oversight. Drawing on cross-industry research covering sixteen major AI systems, peer-reviewed findings on emotional manipulation, and documented incidents across sectors, this paper proposes the A.W.A.R.E. Governance Flywheel, organized around Identity, Trust, and Control spokes with Visibility, Attribution, and Containment as operational mechanisms, bound by Accountability. A comparative analysis of six frameworks across six continents shows no widely adopted framework currently operationalizes agentic governance at this specificity. The paper extends the framework with operational metrics, industry applications, adoption barriers, and three testable propositions.
Authors - Yasmine AGOUN, Cheikh SALMI, Nour El-Houda SENOUSSI Abstract - The rapid growth of the Internet of Things (IoT) has made cybersecurity prone to several vulnerabilities, highlighting the need for a semantic and well-organized structure for cybersecurity knowledge to ensure reliable threat detection and mitigation. In this paper, we propose IoTSecOnto, a largely automated pipeline for building a security-centric Internet of Things (IoT) ontology. The pipeline combines automated security literature mining, text analytics, natural language processing, Large Language Models (LLMs), and formal concept analysis. This approach reveals domain-specific concepts and relations and organizes them into a coherent hierarchy. A human-assisted review phase is needed to ensure the reliability and the accuracy of the derived security knowledge. In addition, the ontology is designed to be flexible and can be improved over time. IoTSecOnto is implemented using OWL 2, RDFLib, SPARQL, and SHACL constraints. We used a Mirai botnet and ontology quality metrics to demonstrate its effectiveness. The obtained results confirm the ability of IoTSecOnto to support knowledge sharing, automated reasoning, and improved threat analysis across diverse IoT settings.
Authors: Nellylyn Moyo, Naume Sonhera Abstract: The adoption of generative artificial intelligence (GenAI) has quickly evolved from its experimental stage to a question of institutional governance in higher education. Although initial approaches to the integration of GenAI in universities have been characterized by ad hoc trial-and-error methods and inconsistent policies, higher education organizations are now taking a more systematic approach to the regulation and implementation of GenAI for educational, research, and administrative purposes. This study provides a conceptual critical literature review of the approaches being adopted by universities toward GenAI, emphasizing trends in the global context and in Africa and South African higher education. The study demonstrates that GenAI readiness should not be viewed solely in terms of willingness to use AI technologies but rather as a multifaceted construct. Institutional governance, on the other hand, has evolved to incorporate responses related to issues of academic integrity, redesigning assessments, AI literacy, requirements for disclosure, development of staff, protection of data, and responsible-use guidelines. Nevertheless, such an evolution is patchy, reactive, and very much dependent on institutional capacities, disciplinary differences, and available resources. In the case of African higher education, the possibilities generated by the advent of GenAI have been heavily determined by structural limitations, such as digital inequality, uneven infrastructures, immature policies, and lack of capacity building measures. South Africa emerges as a particularly interesting example because of the emergence of governance responses in a space characterised by inequalities related to access, digital literacy, and institutional capacity. The study argues for an approach to GenAI adoption readiness that would consider the issue at three interdependent levels: individual readiness, organisational readiness, and structural readiness. Such an approach would enable a more contextually sensitive perspective on responsible GenAI adoption.
Authors: Nellylyn Moyo, Sello Prince Sekwatlakwatla, Tranos Zuva Abstract: GenAI has created considerable opportunities and challenges within institutions of higher education. While GenAI tools could help with teaching, learning, assessment, feedback, academic writing, research, and administrative functions, the uptake of these technologies cannot merely be viewed from a perspective of accessibility. In this study, an approach towards institutional readiness for adopting GenAI within higher education institutions is provided by examining infrastructure, governance, training, readiness for ethical adoption, reassessment, and fit-to-use practices. Peer-reviewed literature written between 2020 and 2026 is reviewed here to show that institutional readiness for GenAI adoption must be viewed as an organisational capability rather than as a static technology readiness state. The conclusion can be drawn that while reliable digital infrastructure is an indispensable requirement, institutional readiness also requires governance maturity, clarity of policy, integrity, protection of data, professional development of faculty members, AI literacy of students, as well as rethinking of assessments. The readiness concept is additionally influenced by factors such as digital inequality, varying capacities of institutions, limited resources, and policies in the higher education systems in Africa and South Africa. Fit to use alignment and practice-policy alignment are two concepts that may be useful in determining how well integrated the use of GenAI technology is into educational processes. GenAI can only be used responsibly if there is proper alignment among various aspects, including technology, policy, ethics, and context.
