Enhancing Resilience against Schedule-Based Attacks in Mobile Real-Time Database Systems through Mobility-Aware Priority Assignment

Abstract

Mobile real-time database systems (RTDBs) are vulnerable to schedule-based attacks, which are exacerbated by mobility factors such as network disconnections and fluctuating conditions. Traditional priority assignment techniques in these environments do not account for mobility, leaving systems exposed to anterior and posterior attacks. To address these issues, this study proposes the” Optimal Priority Assignment with Ordered Preferences and Mobility (OPA-OPM)” framework, an adaptive algorithm that adjusts task scheduling dynamically based on real-time network conditions, connectivity, and task criticality. OPAOPM integrates a mobility-aware component that improves task scheduling efficiency and system security by mitigating the risks associated with mobility-induced vulnerabilities. Simulation results demonstrate that the proposed method reduces idle times, enhances real-time task execution, and improves system resilience by over 25% when compared to traditional Rate Monotonic Scheduling (RMS) algorithms. These findings underscore the potential of mobility-aware scheduling techniques to strengthen defenses against schedule-based attacks in mobile RTDBs, offering a significant improvement in both system performance and security.