Fuzzy integrated Bayesian Dempster–Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid

Velusamy, Durgadevi; Ganeshkumar, P.

doi:10.1016/j.ins.2018.07.051

Cited by 18 publications

(4 citation statements)

References 14 publications

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“…DS is one of the suitable techniques when dealing with uncertainty and imprecise data [70]. DS is suitable for multi-sensor and heterogeneous data processing as it can evaluate the trust of different resources [101]. Each evidence is represented by a basic probability assignment which is also known as a density function.…”

Section: ) Dempster-shafermentioning

confidence: 99%

Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

et al. 2021

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Recently, development in intelligent transportation systems (ITS) requires the input of various kinds of data in real-time and from multiple sources, which imposes additional research and application challenges. Ongoing studies on Data Fusion (DF) have produced significant improvement in ITS and manifested an enormous impact on its growth. This paper reviews the implementation of DF methods in ITS to facilitate traffic flow analysis (TFA) and solutions that entail the prediction of various traffic variables such as driving behavior, travel time, speed, density, incident, and traffic flow. It attempts to identify and discuss real-time and multi-sensor data sources that are used for various traffic domains, including road/highway management, traffic states estimation, and traffic controller optimization. Moreover, it attempts to associate abstractions of data level fusion, feature level fusion, and decision level fusion on DF methods to better understand the role of DF in TFA and ITS. Consequently, the main objective of this paper is to review DF methods used for real-time and multi-sensor (heterogeneous) TFA studies. The review outcomes are (i) a guideline of constructing DF methods which involve preprocessing, filtering, decision, and evaluation as core steps, (ii) a description of the recent DF algorithms or methods that adopt real-time and multi-sensor sources data and the impact of these data sources on the improvement of TFA, (iii) an examination of the testing and evaluation methodologies and the popular datasets and (iv) an identification of several research gaps, some current challenges, and new research trends.INDEX TERMS Intelligent transportation systems, traffic flow analysis, data fusion; real-time processing, multi-sensor, heterogeneous data, machine learning.

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Section: ) Dempster-shafermentioning

confidence: 99%

Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

et al. 2021

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“…In References 26,27, a framework for data association problems using D‐S theory is proposed to deal with the recognition problem. A trusted routing framework based on Bayesian D‐S fuzzy trusted routing has recently been designed, in which the D‐S theory is used for node trust estimation based on the transmission rate and buffering capacity 28 . Unfortunately, to our knowledge, defense strategies against different types of attacks have not received adequate attention, which motivated the effort in this study.…”

Section: Introductionmentioning

confidence: 99%

Distributed filtering for nonlinear systems under Dempster–Shafer theory subject to malicious cyber attacks

Wang

Chen

et al. 2022

Intl J Robust & Nonlinear

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This paper addresses the problem of network security for distributed filtering when subject to malicious cyber attacks. First, based on the Dempster-Shafer (D-S) theory a protector for each sensor is proposed, that can decide whether to use data sent by neighboring sensors. Furthermore, a distributed estimator is proposed for the nonlinear system with the designed detector. Besides, a sufficient condition is presented for the stability of the estimator equipped with the designed protector when under cyber attacks. Finally, several numerical examples are presented to verify the proposed protection strategy's efficacy.

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“…To understand this concept, it is necessary to remember that tra-ditional grid consists of transmission lines, transformers, and substations, among other components that the provider needs for sending electric power from power generation plants to the end user. Although the main grid is considered a marvel of engineering, currently this approach is over exploited, and it is required another type of grid, one that incorporates the existing technology and overcome current and future issues [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Power Management Strategy for a Residential DC-Microgrid

et al. 2020

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Power management strategies (PMS) are applied to keep a balance, between different energy sources (i.e. solar, wind, geothermal, hydro), storage units (i.e. fuel cell, batteries, fly wheel) and loads. Up to date, there has been reported several advance techniques to solve this task, for instance: Fuzzy Logic, Deep Learning, Droop Control, Bayesian Networks, among others. Nevertheless, some of those PMS are over simplified and others are too complex to be programmed in devices with limited resources. To solve these issues, this paper proposes a PMS based on Fuzzy Logic, which keeps a balance between those two goals. Characteristics of the proposed PMS are a small number of rules; fulfillment of the demanded power at every time; reducing use of the storage unit; and keeping a balance between the different sources, storage unit and loads. The proposed PMS is numerically evaluated by using SIMULINK-MATLAB®, in a 10kW residential DC Microgrid (MG), and validated by using a Hardware in the Loop platform (NI myRio-1900 and Typhoon HIL402). A comparison with three popular advance techniques demonstrates the feasibility of the proposed PMS.

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Fuzzy integrated Bayesian Dempster–Shafer theory to defend cross-layer heterogeneity attacks in communication network of Smart Grid

Cited by 18 publications

References 14 publications

Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

Distributed filtering for nonlinear systems under Dempster–Shafer theory subject to malicious cyber attacks

Fuzzy Logic Power Management Strategy for a Residential DC-Microgrid

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