» Articles » PMID: 32825585

A Security Concept Based on Scaler Distribution of a Novel Intrusion Detection Device for Wireless Sensor Networks in a Smart Environment

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2020 Aug 23
PMID 32825585
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Following the significant improvement of technology in terms of data collection and treatment during the last decades, the notion of a smart environment has widely taken an important pedestal in the science industry. Built in order to better manage assets, smart environments provide a livable environment for users or citizens through the deployment of sensors responsible for data collection. Much research has been done to provide security to the involved data, which are extremely sensitive. However, due to the small size and the memory constraint of the sensors, many of these works are difficult to implement. In this paper, a different concept for wireless sensor security in smart environments is presented. The proposed security system, which is based on the scaler distribution of a novel electronic device, the intrusion detection system (IDS), reduces the computational functions of the sensors and therefore maximizes their efficiency. The IDS also introduces the concept of the feedback signal and "trust table" used to trigger the detection and isolation mechanism in case of attacks. Generally, it ensures the whole network security through cooperation with other IDSs and, therefore, eliminates the problem of security holes that may occur while adopting such a security technique.

Citing Articles

FSPLO: a fast sensor placement location optimization method for cloud-aided inspection of smart buildings.

Yang M, Ge C, Zhao X, Kou H J Cloud Comput (Heidelb). 2023; 12(1):31.

PMID: 36910722 PMC: 9988203. DOI: 10.1186/s13677-023-00410-0.


A Lightweight Three-Factor Authentication Scheme for WHSN Architecture.

Almuhaideb A, Alqudaihi K Sensors (Basel). 2020; 20(23).

PMID: 33266197 PMC: 7730542. DOI: 10.3390/s20236860.