1. Hink, R.C.B., Goseva-Popstojanova, K.: Characterization of cyberattacks aimed at integrated industrial control and enterprise systems: a case study. In: Proceedings of the 17th International Symposium on High Assurance Systems Engineering, pp. 149–156 (2016)
2. Boyan, J.A., Lithnan, M.L.: Packet routing in namically changing networks: a reinforcement learning approach. In: International Conference on Neural Information Processing Systems, pp. 671–678 (1993)
3. Choi, S.P., Yeung, D.-Y.: Predictive Q-routing: a memory-based reinforcement learning approach to adaptive traffic control. In: Advances in Neural Information Processing Systems, pp. 945–951 (1996)
4. Kumar, S., Miikkulainen, R.: Dual reinforcement Q-routing: an on-line adaptive routing algorithm. In: Proceedings of the Artificial Neural Networks in Engineering Conference, pp. 231–238 (1997)
5. Bhorkar, A.A., Naghshvar, M., Javidi, T., Rao, B.D.: Adaptive opportunistic routing for wireless ad hoc networks. IEEE/ACM Trans. Networking 20(1), 243–256 (2012)