DOAJ Open Access 2024

Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment

Hanen Louati Saadia Rehman Farhat Imtiaz Nafisa A. AlBasheir Afrah Y. Al-Rezami +2 lainnya

Abstrak

This study investigated the stability of bipartite nonlinear fractional-order multi-agent systems (FOMASs) in the presence of false data injection attacks (FDIAs) in a hostile environment. To tackle this problem we used signed graph theory, the Razumikhin methodology, and the Lyapunov function method. The main focus of our proposed work is to provide a method of stability for FOMASs against FDIAs. The technique of Razumikhin improves the Lyapunov-based stability analysis by supporting the handling of the intricacies of fractional-order dynamics. Moreover, utilizing signed graph theory, we analyzed both hostile and cooperative interactions between agents within the MASs. We determined the system stability requirements to ensure robustness against erroneous data injections through comprehensive theoretical investigation. We present numerical examples to illustrate the robustness and efficiency of our proposed technique.

Topik & Kata Kunci

Thermodynamics Mathematics Analysis

Penulis (7)

Hanen Louati

Saadia Rehman

Farhat Imtiaz

Nafisa A. AlBasheir

Afrah Y. Al-Rezami

Mohammed M. A. Almazah

Azmat Ullah Khan Niazi

Format Sitasi

APA MLA BibTeX

Louati, H., Rehman, S., Imtiaz, F., AlBasheir, N.A., Al-Rezami, A.Y., Almazah, M.M.A. et al. (2024). Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment. https://doi.org/10.3390/fractalfract8070430

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.3390/fractalfract8070430
Akses: Open Access ✓