• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.990-993
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• 2012

SCADA(Supervisory Control and Data Acquisition) 시스템은 국가중요기반망인 전력, 가스 등을 제어하기 위해 사용되어 왔다. 최근에는 기존의 폐쇄적인 통신 환경과 달리 외부망과 연결된 개방 통신 환경을 사용함에 따라 안전한 통신을 위한 암호화 기술이 연구되고 있다. 기존 시스템에 적용되고 있는 프로토콜들은 공유키를 갱신하기 위해 수동적으로 설정해야했다. 본 논문에서는 SCADA 시스템을 구성하는 Server와 RTU가 상호 인증하여 무리수 기반의 스트림 암호화 통신과 타임스탬프를 이용한 키 갱신 프로토콜을 제시하여 재사용공격과 가장공격이 불가능한 실시간 암호화통신 프로토콜을 연구하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1143-1156
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• 2013

Power control system like SCADA(Supervisory Control And Data Acquisition) is gathering information using RS232C and low-speed analog communication network. In general, these methods are known as secure because of the secure characteristics from the analog based communication network and serial communication. In this study, first we build DNP communication environment using commercial power control simulator and find some vulnerabilities by testing from the viewpoint of confidentiality, integrity and availability. Consequently, we see the necessity of a valid method for authentication and data encryption when gathering information, even though that is known as secure so far. Discussion of needs of DNP authentication and data encryption is started about several years ago, but there is still nowhere applied that on real environment because the current methods can not fully meet the security requirements of the real environment. This paper suggests a solution to the vulnerabilities, and propose some considerations for enhancing power control system's security level by applying DNP authentication and data encryption.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.173-182
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• 2023

The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.386-389
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• 2009

SCADA 시스템은 대개 생산 공정을 감시하고 제어하는데 사용되는 소프트웨어 패키지로써, 대부분 대규모 플랜트 상태를 감시하고 제어하기 위해 사용된다. 특히, 전력, 댐 철도, 원자력 등과 같은 주요 핵심기반시설에서 이를 활용한다. 기존 SCADA 시스템은 일반적으로 분리된 독자적 네트워크상에서 존재했기 때문에 보안에 소홀할 수밖에 없었다. 그러나 최근 기업정보시스템과의 연동 필요성으로 인해 아주 적게나마 원격에서 접속가능한 지점이 존재하고 이로 인한 취약성이 드러나고 있다. 이처럼 외부 공격에서의 취약성 분석을 통한 연구는 현재 진행 중에 있지만, 물리적인 접속을 통한 RTU Master와 Slave의 데이터를 직접적인 변조에 대한 연구는 이루어지지 않고 있다. Modbus RS485통신을 사용하는 SCADA 시스템의 특성상 RTU Master와 Slave는 RJ11 케이블을 통해 1km까지도 연결될 수 있는 상황이므로, 이러한 케이블에 물리적인 접속을 통하여 데이터를 Sniffing하고 Spoofing하는 것이 가능하다. 따라서 본 논문에서는 이러한 물리적인 접속을 통한 데이터 변조 공격에 대비하기 위하여 RSS를 활용한 보안 향상 방안에 대하여 연구하였고, 이러한 데이터 변조 공격을 검출해 낼 수 있는 모니터링 시스템에 대하여 제안하였다.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.416-424
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• 2019

The authentication technologies used to access computers in both IT and operational technology (OT) network areas include ID/PW, public certificate, and OTP. These authentication technologies can be seen as reflecting the nature of the business-driven IT network. The same authentication technologies is used in SCADA control networks where the operational technology is centered. However, these authentication technologies do not reflect the characteristics of the OT control network environment, which requires strict control. In this paper, we proposed a new enhanced user authentication method suitable for the OT SCADA control network centered on control information processing, utilizing the physical terminal address and operator location information characteristics of the operator's mobile terminal and control network.

• Nuclear Engineering and Technology
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• v.52 no.5
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• pp.995-1001
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• 2020

With the development of digital instrumentation and control (I&C) devices, cyber security at nuclear power plants (NPPs) has become a hot issue. The Stuxnet, which destroyed Iran's uranium enrichment facility in 2010, suggests that NPPs could even lead to an accident involving the release of radioactive materials cyber-attacks. However, cyber security research on industrial control systems (ICSs) and supervisory control and data acquisition (SCADA) systems is relatively inadequate compared to information technology (IT) and further it is difficult to study cyber-attack taxonomy for NPPs considering the characteristics of ICSs. The advanced research of cyber-attack taxonomy does not reflect the architectural and inherent characteristics of NPPs and lacks a systematic countermeasure strategy. Therefore, it is necessary to more systematically check the consistency of operators and regulators related to cyber security, as in regulatory guide 5.71 (RG.5.71) and regulatory standard 015 (RS.015). For this reason, this paper attempts to suggest a template for cyber-attack taxonomy based on the characteristics of NPPs and exemplifies a specific cyber-attack case in the template. In addition, this paper proposes a systematic countermeasure strategy by matching the countermeasure with critical digital assets (CDAs). The cyber-attack cases investigated using the proposed cyber-attack taxonomy can be used as data for evaluation and validation of cyber security conformance for digital devices to be applied, and as effective prevention and mitigation for cyber-attacks of NPPs.

• Nuclear Engineering and Technology
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• v.49 no.3
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• pp.484-494
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• 2017

In industrial plants such as nuclear power plants, system operations are performed by embedded controllers orchestrated by Supervisory Control and Data Acquisition (SCADA) software. A targeted attack (also termed a control aware attack) on the controller/SCADA software can lead a control system to operate in an unsafe mode or sometimes to complete shutdown of the plant. Such malware attacks can result in tremendous cost to the organization for recovery, cleanup, and maintenance activity. SCADA systems in operational mode generate huge log files. These files are useful in analysis of the plant behavior and diagnostics during an ongoing attack. However, they are bulky and difficult for manual inspection. Data mining techniques such as least squares approximation and computational methods can be used in the analysis of logs and to take proactive actions when required. This paper explores methodologies and algorithms so as to develop an effective monitoring scheme against control aware cyber attacks. It also explains soft computation techniques such as the computational geometric method and least squares approximation that can be effective in monitor design. This paper provides insights into diagnostic monitoring of its effectiveness by attack simulations on a four-tank model and using computation techniques to diagnose it. Cyber security of instrumentation and control systems used in nuclear power plants is of paramount importance and hence could be a possible target of such applications.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.10-16
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• 2023

The ever-increasing amount of data generated by various industries and systems has led to the development of data mining techniques as a means to extract valuable insights and knowledge from such data. The electrical energy industry is no exception, with the large amounts of data generated by SCADA systems. This study focuses on the analysis of historical data recorded in the SCADA database of the Libyan Electricity Company. The database, spanned from January 1st, 2013, to December 31st, 2022, contains records of daily date and hour, energy production, temperature, humidity, wind speed, and energy consumption levels. The data was pre-processed and analyzed using the WEKA tool and the Apriori algorithm, a supervised machine learning technique. The aim of the study was to extract association rules that would assist decision-makers in making informed decisions with greater efficiency and reduced costs. The results obtained from the study were evaluated in terms of accuracy and production time, and the conclusion of the study shows that the results are promising and encouraging for future use in the Libyan Electricity Company. The study highlights the importance of data mining and the benefits of utilizing machine learning technology in decision-making processes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.815-825
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• 2015

DNP3(Distributed Network Protocol) is one of the most representative protocols which is used in SCADA(Supervisory Control and Data Acquisition) system. IEC 62351 is listing the integrity, confidentiality, availability and non-repudiation or accountability as the security requirement. However, IEEE Std. 1815 that is DNP3 standards does not define a mechanism for non-repudiation or accountability. In this paper, we propose a non-repudiation of origin technique about the sender of critical ASDU and implement the proposed scheme using software such as OpenSSL and SCADA source code library.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.4
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• pp.362-369
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• 2014

A railway SCADA system is a control systems that provide the trains with the electricity. A railway SCADA system sends commands to the RTUs(remote terminal unit) and then it gathers status information of the field devices in the RTUs or controls field devices connected with the RTUs. The RTU can controls input output modules directly, gathers the status information of the field devices connected with it, and send the information to the control center. In this way, a railway SCADA system monitors and controls the electricity power for running trains. The cyber attackers may use some vulnerabilities in the railway SCADA system software to attack critical infrastructures. The vulnerabilities might be created in the railway software development process. Therefore it need to detect and remove the vulnerabilities in the control system. In this paper we propose a new control protocol fuzzing method to detect the vulnerabilities in the DNP3 protocol based application running on VxWorks in RTU(Remote Terminal Unit) that is a component of the centralized traffic control system for railway. Debug-channel based fuzzing method is required to obtain process status information from the VxWorks.