Abstract : Rapid advances in information and communication technologies have led to the emergence of cyber-physical systems (CPSs). Wireless sensor networks (WSNs) play a pivotal role in CPSs, particularly for operations such as surveillance and monitoring. However, these WSNs are subject to various types of cyberattacks that can cause damage, theft, or destruction of sensitive data, in addition to disruption of services provided by CPSs. To strengthen cybersecurity in WSN-enabled CPSs, various researchers have proposed a new category of efficient algorithms, inspired by biological phenomena. We present a careful review of different bio-inspired techniques developed for improving cybersecurity of CPSs using WSNs. Additionally, we propose a generic bio-inspired model called Swarm Intelligence for WSN Cybersecurity (SIWC) that addresses drawbacks of prior bio-inspired approaches.
