TY - GEN
T1 - Evaluation of Reinforcement Learning Algorithm on SSH Honeypot
AU - Kristyanto, Marco Ariano
AU - Studiawan, Hudan
AU - Pratomo, Baskoro Adi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The honeypot is a tool to detect the attacker's activity and can be used as a diversion. But the growth of attacking techniques makes the attacker realize they are interacting with a honeypot, not a real server. Previous research discusses the concept of an adaptive honeypot to make the honeypot more adaptive to the attacker because the growth of cyber attack techniques make attacker realize the presence of the honeypot. To realize the idea, researchers combine the honeypot with the reinforcement learning (RL) algorithm to create a honeypot that can learn from attacker behavior. In this research, we measure the impact of the RL algorithm on the SSH honeypot. The result is that the attacker and honeypot interaction is longer than before.
AB - The honeypot is a tool to detect the attacker's activity and can be used as a diversion. But the growth of attacking techniques makes the attacker realize they are interacting with a honeypot, not a real server. Previous research discusses the concept of an adaptive honeypot to make the honeypot more adaptive to the attacker because the growth of cyber attack techniques make attacker realize the presence of the honeypot. To realize the idea, researchers combine the honeypot with the reinforcement learning (RL) algorithm to create a honeypot that can learn from attacker behavior. In this research, we measure the impact of the RL algorithm on the SSH honeypot. The result is that the attacker and honeypot interaction is longer than before.
KW - Cowrie
KW - adaptive honeypot
KW - honeypot
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85150419364&partnerID=8YFLogxK
U2 - 10.1109/ICITISEE57756.2022.10057816
DO - 10.1109/ICITISEE57756.2022.10057816
M3 - Conference contribution
AN - SCOPUS:85150419364
T3 - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
SP - 346
EP - 350
BT - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Y2 - 13 December 2022 through 14 December 2022
ER -
