FBCFFS-Based Authentication Method for Node Privacy Message in WS
Jung-sub Ahn1, Tae-ho Cho2

1Jung-sub Ahn*, Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
2Tae-ho Cho , Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea. 

Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 313-318 | Volume-9 Issue-3, February, 2020. | Retrieval Number:  C4844029320/2020©BEIESP | DOI: 10.35940/ijeat.C4844.029320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In wireless sensor networks (WSNs), the design of the energy management of the nodes and report security are important. In particular, many studies have focused on maintaining report in applications where an Internet of Things (IoT) system is connected with a WSN, with the IoT actuator operated based on measured data of WSNs. A Fuzzy-based Cluster-based False Data Filtering Scheme (FBCFFS), which can dynamically adjust security in a vulnerable network situation, maintains security using the cluster state information of the network. This scheme uses fuzzy logic, a type of rule-based expert system. The fuzzy logic system of the FBCFFS determines security strength based on network monitoring information. However, previous work with the FBCFFS has not addressed the security of the cluster information. Thus, there exists risk of data transformation at the middle transmission step in the previous approach. In addition, the node periodically transmits state information to the base station, which is inefficient in terms of network lifetime management. In this paper, we provide a method to secure the state information message and to reduce the communication cost by controlling the number of messages.
Keywords: Fuzzy system, node energy efficiency management system, wireless sensor networks, node state data security, node privacy message, message authentication.