Chapter 9: Adaptive Intrusion Prevention for Military Internet of Things: Emerging Innovations and Security Challenges

The rapid integration of Internet of Things (IoT) technologies into military operations has transformed modern warfare by enhancing situational awareness, streamlining logistics, and enabling real-time decision-making, but it also introduces significant cybersecurity challenges due to the extensive interconnectivity of diverse and resource-constrained devices. This work explores adaptive intrusion prevention systems (AIPSs) tailored for military IoT networks, emphasizing the use of machine learning (ML) algorithms for autonomous threat detection, real-time threat intelligence integration, and rapid response capabilities essential for mission-critical environments. It also addresses the complexities posed by heterogeneous IoT infrastructures and constrained operational settings, underscoring the need for scalable, low-latency, and resilient security solutions. Furthermore, the human factor is considered vital, highlighting the importance of training personnel to effectively collaborate with AIPS for optimal decision-making. Overall, the study provides a comprehensive overview of emerging AIPS technologies, their applicability in military contexts, and the necessity for continuous innovation to keep pace with evolving cyber threats.