The field of cybersecurity and network dynamics is moving towards the development of more sophisticated models and strategies for protecting against malware and cyberattacks. Researchers are focusing on designing novel patching policies, evaluating the reliability and fault tolerance of multi-core processors, and studying the nonlinear instabilities in computer network dynamics. The use of probabilistic models, such as the Mobile Byzantine Failure model, is becoming increasingly popular for capturing the dynamics of evolving attacks and driving self-protection strategies. Noteworthy papers include: Effective Delayed Patching for Transient Malware Control on Networks, which proposes a novel patching policy based on the susceptible-infected epidemic network model. Nonlinear Instabilities in Computer Network Dynamics, which studies the dynamical phenomena observed in practice due to the presence of severe nonlinearities, delays, and widely varying operating conditions. Design and Detection of Covert Man-in-the-Middle Cyberattacks on Water Treatment Plants, which introduces a systematic approach for modeling and assessing covert man-in-the-middle attacks. A New Probabilistic Mobile Byzantine Failure Model for Self-Protecting Systems, which proposes a new probabilistic Mobile Byzantine Failure model that captures the dynamics of evolving attacks.