TY - GEN
T1 - Dynamic Interval Strategy for MT6D in IoT Systems
AU - Chen, Yen Yu
AU - Liu, I. Hsien
AU - Wu, Chi Che
AU - Liu, Chuan Gang
AU - Li, Jung Shian
N1 - Funding Information:
ACKNOWLEDGMENTS This work was supported by the Ministry of Science and Technology (MOST) in Taiwan under contract numbers MOST 110-2218-E-006-013-MBK.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Recent studies have shown the practical architecture of MT6D and its performance. We obtain the highest security of MT6D with the use of the shortest changing time interval. However, it usually needs a lot of system resources, which makes the researchers consider other ways to achieve security goals in MT6D. In this paper, we propose a dynamical interval strategy for MT6D in IoT systems. According to the attacker behaviors detected by the Intrusion-detection system (IDS), we dynamically adjust the MTD system's changing time interval. The implementation method is based on the concept of finite state machines. The finite state machine of the strategy includes three states, normal state, low-speed scanned state, and high-speed scanned state, respectively. In addition, we compare the performance difference after applying our proposed strategy and find the proposed strategy can effectively reduce the system's resource usage.
AB - Recent studies have shown the practical architecture of MT6D and its performance. We obtain the highest security of MT6D with the use of the shortest changing time interval. However, it usually needs a lot of system resources, which makes the researchers consider other ways to achieve security goals in MT6D. In this paper, we propose a dynamical interval strategy for MT6D in IoT systems. According to the attacker behaviors detected by the Intrusion-detection system (IDS), we dynamically adjust the MTD system's changing time interval. The implementation method is based on the concept of finite state machines. The finite state machine of the strategy includes three states, normal state, low-speed scanned state, and high-speed scanned state, respectively. In addition, we compare the performance difference after applying our proposed strategy and find the proposed strategy can effectively reduce the system's resource usage.
UR - http://www.scopus.com/inward/record.url?scp=85125841864&partnerID=8YFLogxK
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U2 - 10.1109/ICEIB53692.2021.9686425
DO - 10.1109/ICEIB53692.2021.9686425
M3 - Conference contribution
AN - SCOPUS:85125841864
T3 - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
SP - 36
EP - 39
BT - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
Y2 - 10 December 2021 through 12 December 2021
ER -