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Title: Markov Decision Process based Model for Performance Analysis an Intrusion Detection System in IoT Networks, Journal of Telecommunications and Information Technology, 2021, nr 3

Creator:

Kalnoor, Gauri ; S, Gowrishankar

Date:

2021, nr 3

Resource Type:

artykuł

Description:

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

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2195

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

machine learning intrusion detection IoT DDoS Q-learning reinforcement-learning NSL-KDD Markov decision process (MDP)

Object collections:

Last modified:

Oct 11, 2021

In our library since:

Oct 11, 2021

Number of object content hits:

54

All available object's versions:

https://bc.itl.waw.pl/publication/2497

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Edition name Date
Kalnoor, Gauri; S, Gowrishankar, Markov Decision Process based Model for Performance Analysis an Intrusion Detection System in IoT Networks, Journal of Telecommunications and Information Technology, 2021, nr 3 Oct 11, 2021

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