Security issues for GRID systems

2010 ◽  
Author(s):  
Alina Madalina Lonea ◽  
Daniela Elena Popescu
Keyword(s):  
Grid Systems ◽  
Security Issues

scholarly journals CRYPTO-SPATIAL: AN OPEN STANDARDS SMART CONTRACTS LIBRARY FOR BUILDING GEOSPATIALLY ENABLED DECENTRALIZED APPLICATIONS ON THE ETHEREUM BLOCKCHAIN

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 421-426
Author(s):  
A. Benahmed Daho
Keyword(s):  
Design Patterns ◽  
Object Oriented Programming ◽  
Smart Contracts ◽  
Proof Of Concept ◽  
Transportation Energy ◽  
Grid Systems ◽  
Security Issues ◽  
Blockchain Technology ◽  
Spatial Features ◽  
Generic Architecture

Abstract. Blockchain is an emerging immature technology that disrupt many well established industries nowadays, like finance, supply chain, transportation, energy, official registries (identity, vehicles, …). In this contribution we present a smart contracts library, named Crypto-Spatial, written for the Ethereum Blockchain and designed to serve as a framework for geospatially enabled decentralized applications (dApps) development. The main goal of this work is to investigate the suitability of Blockchain technology for the storage, retrieval and processing of vector geospatial data. The design and the proof-of-concept implementation presented are both based on the Open Geospatial Consortium standards: Simple Feature Access, Discrete Global Grid Systems (DGGS) and Well Known Binary (WKB). Also, the FOAM protocol concept of Crypto-Spatial Coordinate (CSC) was used to uniquely identify spatial features on the Blockchain immutable ledger. The design of the Crypto-Spatial framework was implemented as a set of smart contracts using the Solidity object oriented programming language. The implemented library was assessed toward Etheruem’s best practices design patterns and known security issues (common attacks). Also, a generic architecture for geospatially enabled decentralized applications, combining blockchain and IPFS technologies, was proposed. Finally, a proof-of-concept was developed using the proposed approach which main purpose is to port the UN/FAO-SOLA to Blockchain techspace allowing more transparency and simplifying access to users communities. The smart contracts of this prototype are live on the Rinkeby testnet and the frontend is hosted on Github pages. The source code of the work presented here is available on Github under Apache 2.0 license.

A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems

2022 ◽  
pp. 911-923
Author(s):  
Richa Singh ◽  
Arunendra Singh ◽  
Pronaya Bhattacharya
Keyword(s):  
Anomaly Detection ◽  
Smart Grid ◽  
Confusion Matrix ◽  
Test Bed ◽  
Industrial Growth ◽  
Grid Systems ◽  
Security Issues ◽  
System Calls ◽  
Machine Learning Approach ◽  
Internal Operations

The rapid industrial growth in cyber-physical systems has led to upgradation of the traditional power grid into a network communication infrastructure. The benefits of integrating smart components have brought about security issues as attack perimeter has increased. In this chapter, firstly, the authors train the network on the results generated by the uncompromised grid network result dataset and then extract valuable features by the various system calls made by the kernel on the grid and after that internal operations being performed. Analyzing the metrics and predicting how the call lists are differing in call types, parameters being passed to the OS, the size of the system calls, and return values of the calls of both the systems and identifying benign devices from the compromised ones in the test bed are done. Predictions can be accurately made on the device behavior in the smart grid and calculating the efficiency of correct detection vs. false detection according to the confusion matrix, and finally, accuracy and F-score will be computed against successful anomaly detection behavior.

A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems

2021 ◽  
pp. 199-213
Author(s):  
Richa Singh ◽  
Arunendra Singh ◽  
Pronaya Bhattacharya
Keyword(s):  
Anomaly Detection ◽  
Smart Grid ◽  
Confusion Matrix ◽  
Test Bed ◽  
Industrial Growth ◽  
Grid Systems ◽  
Security Issues ◽  
System Calls ◽  
Machine Learning Approach ◽  
Internal Operations

The rapid industrial growth in cyber-physical systems has led to upgradation of the traditional power grid into a network communication infrastructure. The benefits of integrating smart components have brought about security issues as attack perimeter has increased. In this chapter, firstly, the authors train the network on the results generated by the uncompromised grid network result dataset and then extract valuable features by the various system calls made by the kernel on the grid and after that internal operations being performed. Analyzing the metrics and predicting how the call lists are differing in call types, parameters being passed to the OS, the size of the system calls, and return values of the calls of both the systems and identifying benign devices from the compromised ones in the test bed are done. Predictions can be accurately made on the device behavior in the smart grid and calculating the efficiency of correct detection vs. false detection according to the confusion matrix, and finally, accuracy and F-score will be computed against successful anomaly detection behavior.

scholarly journals Smart Grid Systems Based Survey on Cyber Security Issues

2017 ◽  
Vol 6 (4) ◽  
pp. 337-342
Author(s):  
R. Dorothy ◽  
Sasilatha Sasilatha
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Communication Networks ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Power Grids ◽  
Renewable Energy Resources ◽  
Grid Systems ◽  
Security Issues ◽  
Smart Grid System

The future power system will be an innovative administration of existing power grids, which is called smart grid. Above all, the application of advanced communication and computing tools is going to significantly improve the productivity and consistency of smart grid systems with renewable energy resources. Together with the topographies of the smart grid, cyber security appears as a serious concern since a huge number of automatic devices are linked through communication networks. Cyber attacks on those devices had a direct influence on the reliability of extensive infrastructure of the power system.  In this survey, several published works related to smart grid system vulnerabilities, potential intentional attacks, and suggested countermeasures for these threats have been investigated.

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