- Tytuł:
- Markov Decision Process based Model for Performance Analysis an Intrusion Detection System in IoT Networks
- Autorzy:
-
Kalnoor, Gauri
Gowrishankar, - - Powiązania:
- https://bibliotekanauki.pl/articles/1839336.pdf
- Data publikacji:
- 2021
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
DDoS
intrusion detection
IoT
machine learning
Markov decision process
MDP
Q-learning
NSL-KDD
reinforcement learning - Opis:
- In this paper, a new reinforcement learning intrusion detection system is developed for IoT networks incorporated with WSNs. A research is carried out and the proposed model RL-IDS plot is shown, where the detection rate is improved. The outcome shows a decrease in false alarm rates and is compared with the current methodologies. Computational analysis is performed, and then the results are compared with the current methodologies, i.e. distributed denial of service (DDoS) attack. The performance of the network is estimated based on security and other metrics.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2021, 3; 42-49
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł