Research Publications

Cyber security for fog-based smart grid SCADA systems: Solutions and challenges

This paper presents a comprehensive survey of existing cyber security solutions for fog-based smart grid SCADA systems. We start by providing an overview of the architecture and the concept of fog-based smart grid SCADA systems and its main components. According to security requirements and vulnerabilities, we provide a classification of these solutions into four categories, including authentication solutions, privacy-preserving solutions, key management systems, and intrusion detection systems. For each category, we describe the essence of the methods and provide a classification with respect to security requirements. Therefore, according to the machine learning methods used by the intrusion detection system (IDS), we classify the IDS solutions into nine categories, including deep learning-based IDS, artificial neural networks-based IDS, support vector machine-based IDS, decision tree-based IDS, rule-based IDS, Bloom filter-based IDS, random forest-based IDS, random subspace learning-based IDS, and deterministic finite automaton-based IDS. The informal and formal security analysis techniques used by the cyber security solutions are tabulated and summarized. In addition, we provide a taxonomy of attacks tackled by privacy-preserving and authentication solutions in the form of tables. Based on the present study, several proposals for challenges and research issues such as detecting false data injection attacks are discussed at the end of the paper.

https://www.sciencedirect.com/science/article/abs/pii/S2214212619311408

Messaoud Babaghayou

Messaoud Babaghayou

PhD in computer science (Location Privacy in IoV). PhD student (Energy Efficiency in Mobile Edge Computing) at Université Amar Telidji Laghouat.
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Kadri, C.B., Guerroudj, A., Hamlat, A. et al. Statistical analysis of remote sensing eco-environmental techniques under land use and land cover constraints: a case study of Blida Province, Algeria. Acta Geophys. (2025). https://doi.org/10.1007/s11600-025-01673-8 https://link.springer.com/article/10.1007/s11600-025-01673-8

August 2, 2025

The Remote Sensing Ecological Index (RSEI) is widely used to assess environmental quality, yet the influence of weighting methods and land cover types on its outputs remains underexplored. Based on

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Hamlat, A., Tidjani, A. E.-B., Yebdri, D., Errih, M., & Guidoum, A. (2014). Water quality analysis of reservoirs within Western Algeria catchment areas using water quality index CCME WQI. Journal of Water Supply: Research and Technology—AQUA, 63(4), 311. doi:10.2166/aqua.2013.226

November 16, 2024

The present paper aims at determining the status and trends in water quality at Western Algeria reservoirs. The method consists of the computation of Water Quality Index (WQI) on the

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Hamlat, A., Kadri, C. B., Sekkoum, M., Guidoum, A., & Remada, A. (2022). Multi-criteria decision-making approach for selecting an alternative wastewater treatment plant site in urban areas of Laghouat (North-Central Algeria). Euro-Mediterranean Journal for Environmental Integration, 7(4), 511–530. https://doi.org/10.1007/s41207-022-00333-3

November 16, 2024

Environmental projects need decision-making that integrates environmental, socio-political, and economic factors. Finding a suitable location for a wastewater treatment plant (WWTP) can be a complex and challenging task for the

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