CENTER Water: A Secure Testbed Infrastructure Proposal For Waste and Potable Water Management

Özçeli̇k, İbrahim; İskefiyeli, Murat; Balta, Musa; Akpinar, Kevser Ovaz; Toker, Firdevs Sevde

doi:10.1109/isdfs52919.2021.9486364

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Cyber-physical environments called testbeds have been established in about 30 countries for various needs such as vulnerability analysis, training, development, and testing of defense mechanisms. iTrust [39] for cyber security research at Singapore University of Technology and Design, Sakarya University Critical Infrastructure National Test Bed center (CENTER) [40] in Turkey, The Mississippi State University (MSU) SCADA Security Lab [41], Technical Assessment Research Lab, China [42], SCADA testbed recently built at the University of New Orleans, USA [43] are the most popular centers that provide opportunities for studies by offering cyberphysical environments created for critical infrastructures. Apart from these, cyber security studies are also carried out on simulation platforms or small-scale cyber-physical test environments (eg EpanetCDA [44], Facies [45], WaterBox [46]) on water management systems.…”

Section: Global Description Of the Datasetsmentioning

confidence: 99%

Water Quality Estimation and Anomaly Detection: A Review

Balta,

Balta Kaç,

Balta

et al. 2023

EAI Endorsed Trans IoT

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Critical infrastructures that provide irreplaceable services are systems that contain industrial control systems (ICS) that can cause great economic losses, security vulnerabilities and disruption of public order when the information in it is corrupted. These ICSs, which were previously isolated, have now become systems that contain online sensors, wireless networks and artificial intelligence technologies. This situation has also increased the scope of attacks by malicious people who intend to carry out industrial espionage and sabotage these systems. In this study, water quality estimation systems and anomaly detection are comprehensively examined. In this direction, the statistics of the studies in the literature, the methods for water quality anomaly detection, the existing data sets, and the difficulties encountered in the water systems to achieve better water management are discussed. Principle findings of this research can be summarized as follows: (i) new methodologies and architectures have improved water quality assessment through anomaly detection, (ii) different datasets including multi-modal information have been presented, and (iii) remaining challenges and prospects have been investigated.

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Section: Global Description Of the Datasetsmentioning

confidence: 99%

Water Quality Estimation and Anomaly Detection: A Review

Balta,

Balta Kaç,

Balta

et al. 2023

EAI Endorsed Trans IoT

Self Cite

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“…This system consists of drinking water process Dam/Lake, Treatment, Lift-1, Lift-2 and Storage stations, and wastewater process Elevation-1, Lift-2 and Treatment stations. Many analog or digital I/O units are used for both systems [2].…”

Section: The Developed Web Based Snmp Health Check Applicationmentioning

confidence: 99%

“…Systems that enable a part or all the society to access the services they need while fulfilling their vital functions, and the infrastructures that enable these systems to work in the desired way are called critical infrastructures [1][2]. Critical infrastructures must ensure that the service they provide is uninterrupted and secure.…”

Section: Introductionmentioning

confidence: 99%

Web Based Health Check Application for Water Management Systems via SNMP Protocol

Yıldız

Balta

2022

acperpro

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The purpose of this article is to develop a system that will enable the monitoring of smart water systems over the network. In this study, firstly why this system is needed is explained and then the developed application is explained. As described in chapter I, each network must be monitored by its administrators to detect potential cyber-attacks and faults. In critical infrastructures, this is a mandatory condition. Otherwise, a possible cyber-attack or faults in the network may lead to the suffering of thousands of people. The application developed for these reasons has been designed according to user criteria, taking into account the previous applications, as explained in section II. With the developed application, the Critical Infrastructures National Testbed Center water management network can be monitored using the web-based and SNMP protocol, and possible abnormal situations can be easily detected.

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“…The institutional capacity for data collection, storage, and analysis at the local level is insufficient when problems with duplicate data generation, water-related data production processes, and data sharing are present. Effective log/data management in water-management systems is required in this case [15]. The primary concerns with the creation and use of data connected to water around the world also include the difficulty in accessing data in digital contexts and similar problems.…”

Section: Introductionmentioning

confidence: 99%

Customer Complaints-Based Water Quality Analysis

Balta Kaç,

Eken

2023

Water

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Social media has become a useful instrument and forum for expressing worries about various difficulties and day-to-day concerns. The pertinent postings containing people’s complaints about water quality as an additional source of information can be automatically acquired/retrieved and analyzed using natural language processing and machine learning approaches. In this paper, we search social media for a water quality analysis and propose a scalable messaging system for quality-related issues to the subscribers. We classify the WaterQualityTweets dataset, our newly collected collection, in two phases. In the first phase, tweets are classified into two classes (water quality-related or not). In the second phase, water quality-related issues are classified into four classes (color, illness, odor/taste, and unusual state). The best performance results are BERT and CNN, respectively, for binary and multi-class classification. Also, these issues are sent to different subscribers via a topic-based system with their location and timing information. Depending on the topics that online users are interested in, some information spreads faster than others. In our dataset, we also predict the information diffusion to understand water quality issues’ spreading. The time and effort required for manual comments obtained through crowd-sourcing techniques will significantly decline as a result of this automatic analysis of water quality issues.

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CENTER Water: A Secure Testbed Infrastructure Proposal For Waste and Potable Water Management

Cited by 6 publications

References 10 publications

Water Quality Estimation and Anomaly Detection: A Review

Water Quality Estimation and Anomaly Detection: A Review

Web Based Health Check Application for Water Management Systems via SNMP Protocol

Customer Complaints-Based Water Quality Analysis

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