Abstract
A honeypot system is described that can expand to any attack surface as it learns and grows with the changing device landscape. The system also takes into account the human elements that originated the attack. By using adversarial training mechanisms, the system may be quickly trained to become a doppelganger and attract attacks. Moreover, a unique quantum cognitive framework provides a robust adaptivity to ever-changing attacker strategies. Virtualized intelligent honeypot agents may be introduced into the network, device, or server, to connect and share knowledge to facilitate federated learning for similar type of agents. The agents may also be operated in multitasking for many similar types of devices, users, applications, and the like.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Nedeltchev, Plamen; Kesavan, Mani; Latapie, Hugo; and Fenoglio, Enzo, "VIRTUALIZED INTELLIGENT HONEYPOT AGENT", Technical Disclosure Commons, (February 04, 2019)
https://www.tdcommons.org/dpubs_series/1928