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program for make windows in automation

EATECH Corporation is a leading technology-driven engineering company committed to delivering innovative automation, software, and industrial solutions that drive operational excellence across various sectors. With a strong focus on quality, reliability, and cutting-edge technology, we empower industries to transition into smarter, more efficient, and sustainable operations. Email id - [email protected] Contact us - 9556896419 Visit us - www.eatech.in

EATECH Corporation is a leading technology-driven engineering company committed to delivering innovative automation, software, and industrial solutions that drive operational excellence across various sectors. With a strong focus on quality, reliability, and cutting-edge technology, we empower industries to transition into smarter, more efficient, and sustainable operations. Email id - [email protected] Contact us - 9556896419 Visit us - www.eatech.in

We present the first technique of passive fingerprinting for Supervisory Control And Data Acquisition (SCADA) networks without Deep Packet Inspection (DPI) and experience on real environment. Unlike existing work, our method does not rely on the functions of a specific product or DPI of the SCADA protocol. Our inference method, which is based on the intrinsic characteristics of SCADA, first identifies the network port used for the SCADA protocol, then consecutively infers the field devices and master server. We evaluated the effectiveness of our method using two network traces collected from a real environment for a month and a half, three days from different CI respectively. This confirmed the ability of our method to capture most of the SCADA with high F-score nearly 1, except for HMIs connected to master server, and demonstrated the practical applicability of the method.

We present the first technique of passive fingerprinting for Supervisory Control And Data Acquisition (SCADA) networks without Deep Packet Inspection (DPI) and experience on real environment. Unlike existing work, our method does not rely on the functions of a specific product or DPI of the SCADA protocol. Our inference method, which is based on the intrinsic characteristics of SCADA, first identifies the network port used for the SCADA protocol, then consecutively infers the field devices and master server. We evaluated the effectiveness of our method using two network traces collected from a real environment for a month and a half, three days from different CI respectively. This confirmed the ability of our method to capture most of the SCADA with high F-score nearly 1, except for HMIs connected to master server, and demonstrated the practical applicability of the method.

We present the first technique of passive fingerprinting for Supervisory Control And Data Acquisition (SCADA) networks without Deep Packet Inspection (DPI) and experience on real environment. Unlike existing work, our method does not rely on the functions of a specific product or DPI of the SCADA protocol. Our inference method, which is based on the intrinsic characteristics of SCADA, first identifies the network port used for the SCADA protocol, then consecutively infers the field devices and master server. We evaluated the effectiveness of our method using two network traces collected from a real environment for a month and a half, three days from different CI respectively. This confirmed the ability of our method to capture most of the SCADA with high F-score nearly 1, except for HMIs connected to master server, and demonstrated the practical applicability of the method.

We present the first technique of passive fingerprinting for Supervisory Control And Data Acquisition (SCADA) networks without Deep Packet Inspection (DPI) and experience on real environment. Unlike existing work, our method does not rely on the functions of a specific product or DPI of the SCADA protocol. Our inference method, which is based on the intrinsic characteristics of SCADA, first identifies the network port used for the SCADA protocol, then consecutively infers the field devices and master server. We evaluated the effectiveness of our method using two network traces collected from a real environment for a month and a half, three days from different CI respectively. This confirmed the ability of our method to capture most of the SCADA with high F-score nearly 1, except for HMIs connected to master server, and demonstrated the practical applicability of the method.

/redirect?redir_token=FMZfMoT2FZzsBE7U46Be19utIV98MTUxNTc5MTE1NEAxNTE1NzA0NzU0&event=video_description&v=Itgwb3rn7gE&q=https%3A%2F%2Fmedia.ccc.de%2Fv%2F34c3-8956-scada_-_gateway_to_s_hell Hacking industrial control gateways Small gateways connect all kinds of fieldbusses to IP systems. This talk will look at the (in)security of those gateways, starting with simple vulnerabilities, and then deep diving into reverse-engineering the firmware and breaking the encryption of firmware upgrades. The found vulnerabilities will then be demonstrated live on a portable SCADA system. Companies often utilize small gateway devices to connect the different field-busses used in industrial control systems (such as Modbus, RS232 etc) to TCP/IP networks. Under the hood, these devices are mostly comprised of ARM-based mini computers, running either custom, tiny operating systems or uClinux/Linux. The talk will look at the security aspects of these gateways by examining known and unfixed vulnerabilities like unchangeable default credentials, protocols that do not support authentication, and reverse engineering and breaking the encryption of firmware upgrades of certain gateways. The talk will consist of a theoretical part, an introduction on how to reverse-engineer and find vulnerabilities in a firmware-blob of unknown format, and a practical part, showcasing a live ICS environment that utilizes gateways, from both the IP and the field-bus side, to pivot through an industrial control system environment: Demonstrating how to potentially pivot from a station in the field up to the SCADA headquarters, permanently modifying the firmware of the gateways on the way. Thomas Roth /redirect?redir_token=FMZfMoT2FZzsBE7U46Be19utIV98MTUxNTc5MTE1NEAxNTE1NzA0NzU0&event=video_description&v=Itgwb3rn7gE&q=https%3A%2F%2Ffahrplan.events.ccc.de%2Fcongress%2F2017%2FFahrplan%2Fevents%2F8956.html Source: https://www.youtube.com/watch?v=Itgwb3rn7gE Uploader: media.ccc.de

SCADA and HMI Security

Sergey Gordeychik, Positive Hack Days A talk at Kaspersky Lab's Security Analyst Summit #TheSAS2015 Source: https://www.youtube.com/watch?v=FreoHdDCe8o Uploader: Kaspersky Lab

Over the last year, synchronized and coordinated attacks against critical infrastructure have taken center stage. Remote cyber intrusions at three Ukrainian regional electric power distribution companies in December 2015 left approximately 225,000 customers without power. Malware, like BlackEnergy, is being specially developed to target supervisory control and data acquisition (SCADA) systems. Specifically, adversaries are focusing their efforts on obtaining access to the human-machine interface (HMI) solutions that act as the main hub for managing the operation of the control system. Vulnerabilities in these SCADA HMI solutions are, and will continue to be, highly valuable as we usher in this new era of software exploitation. This talk covers an in-depth analysis performed on a corpus of 200+ confirmed SCADA HMI vulnerabilities. It details out the popular vulnerability types discovered in HMI solutions developed by the biggest SCADA vendors, including Schneider Electric, Siemens, General Electric, and Advantech. It studies the weaknesses in the technologies used to develop HMI solutions and describes how critical vulnerabilities manifest in the underlying code. The talk will compare the time-to-patch performance of various SCADA vendors along with a comparison of the SCADA industry to the rest of the software industry. Finally, using the data presented, additional guidance will be provided to SCADA researchers along with a prediction on what we expect next in attacks that leverage SCADA HMI vulnerabilities. Bio: Brian Gorenc is the senior manager of Vulnerability Research with Trend Micro. In this role, Gorenc leads the Zero Day Initiative (ZDI) program, which represents the world’s largest vendor-agnostic bug bounty program. His focus includes analyzing and performing root-cause analysis on hundreds of zero-day vulnerabilities submitted by ZDI researchers from around the world. The ZDI works to expose and remediate weaknesses in the world’s most popular software. Brian is also responsible for organizing the ever-popular Pwn2Own hacking competitions. Fritz Sands is a security researcher with Trend Micro’s Zero Day Initiative. In this role, he analyzes and performs root-cause analysis on vulnerabilities submitted to the ZDI program, which is the world’s largest vendor-agnostic bug bounty program. Fritz also focuses on writing tools to perform static and dynamic analysis for discovering vulnerabilities. Prior to joining the ZDI in 2014, Sands was in Microsoft’s Trustworthy Computing and Secure Windows Initiative operations where he audited Windows code and developed dynamic analysis tools, and before that he was a system developer for multiple iterations of Microsoft Windows. Source: https://www.youtube.com/watch?v=t3EHOA5fpYk Uploader: DEFCONConference

US government document, so public domain.

Unofficial mirror of http://www.documentcloud.org/documents/238443-exhibit-2m-scada-pressure-transducer.html

Unofficial mirror of http://www.documentcloud.org/documents/238539-ntsb-064-005-scada-incoming-pressur.html

GEXPRO SCADA Wiki dumped with WikiTeam tools.

GE / Fanuc software used for industrial process automation circa 2005. Does not work without a sentinel dongle.

GE / Fanuc software used for industrial process automation circa 2005. Does not work without a sentinel dongle.

GE / Fanuc software used for industrial process automation circa 2005. Does not work without a sentinel dongle.

We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection and multi-attack identification based on logistic regression and quasi-Newton optimization algorithm using the Broyden-Fletcher-Goldfarb-Shanno approach. The detection system is capable of accelerating detection by information gain based feature selection or principle component analysis based dimension reduction. By evaluating our system using the KDD99 dataset and the industrial control system dataset, we demonstrate that HOIDS is highly scalable, efficient and cost effective for securing SCADA infrastructures.

We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection and multi-attack identification based on logistic regression and quasi-Newton optimization algorithm using the Broyden-Fletcher-Goldfarb-Shanno approach. The detection system is capable of accelerating detection by information gain based feature selection or principle component analysis based dimension reduction. By evaluating our system using the KDD99 dataset and the industrial control system dataset, we demonstrate that HOIDS is highly scalable, efficient and cost effective for securing SCADA infrastructures.

We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection and multi-attack identification based on logistic regression and quasi-Newton optimization algorithm using the Broyden-Fletcher-Goldfarb-Shanno approach. The detection system is capable of accelerating detection by information gain based feature selection or principle component analysis based dimension reduction. By evaluating our system using the KDD99 dataset and the industrial control system dataset, we demonstrate that HOIDS is highly scalable, efficient and cost effective for securing SCADA infrastructures.

We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection and multi-attack identification based on logistic regression and quasi-Newton optimization algorithm using the Broyden-Fletcher-Goldfarb-Shanno approach. The detection system is capable of accelerating detection by information gain based feature selection or principle component analysis based dimension reduction. By evaluating our system using the KDD99 dataset and the industrial control system dataset, we demonstrate that HOIDS is highly scalable, efficient and cost effective for securing SCADA infrastructures.

We propose a novel hierarchical online intrusion detection system (HOIDS) for supervisory control and data acquisition (SCADA) networks based on machine learning algorithms. By utilizing the server-client topology while keeping clients distributed for global protection, high detection rate is achieved with minimum network impact. We implement accurate models of normal-abnormal binary detection and multi-attack identification based on logistic regression and quasi-Newton optimization algorithm using the Broyden-Fletcher-Goldfarb-Shanno approach. The detection system is capable of accelerating detection by information gain based feature selection or principle component analysis based dimension reduction. By evaluating our system using the KDD99 dataset and the industrial control system dataset, we demonstrate that HOIDS is highly scalable, efficient and cost effective for securing SCADA infrastructures.

Slalum Tech - Sinai guez and Dotan Schachter

This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.

This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.

EMERSON EDUARDO RODRIGUES

EMERSON EDUARDO RODRIGUES

The electrical power network is a critical infrastructure in today's society, so its safe and reliable operation is of major concern. State estimators are commonly used in power networks, for example, to detect faulty equipment and to optimally route power flows. The estimators are often located in control centers, to which large numbers of measurements are sent over unencrypted communication channels. Therefore cyber security for state estimators becomes an important issue. In this paper we analyze the cyber security of state estimators in supervisory control and data acquisition (SCADA) for energy management systems (EMS) operating the power network. Current EMS state estimation algorithms have bad data detection (BDD) schemes to detect outliers in the measurement data. Such schemes are based on high measurement redundancy. Although these methods may detect a set of basic cyber attacks, they may fail in the presence of an intelligent attacker. We explore the latter by considering scenarios where stealthy deception attacks are performed by sending false information to the control center. We begin by presenting a recent framework that characterizes the attack as an optimization problem with the objective specified through a security metric and constraints corresponding to the attack cost. The framework is used to conduct realistic experiments on a state-of-the-art SCADA EMS software for a power network example with 14 substations, 27 buses, and 40 branches. The results indicate how state estimators for power networks can be made more resilient to cyber security attacks.

The electrical power network is a critical infrastructure in today's society, so its safe and reliable operation is of major concern. State estimators are commonly used in power networks, for example, to detect faulty equipment and to optimally route power flows. The estimators are often located in control centers, to which large numbers of measurements are sent over unencrypted communication channels. Therefore cyber security for state estimators becomes an important issue. In this paper we analyze the cyber security of state estimators in supervisory control and data acquisition (SCADA) for energy management systems (EMS) operating the power network. Current EMS state estimation algorithms have bad data detection (BDD) schemes to detect outliers in the measurement data. Such schemes are based on high measurement redundancy. Although these methods may detect a set of basic cyber attacks, they may fail in the presence of an intelligent attacker. We explore the latter by considering scenarios where stealthy deception attacks are performed by sending false information to the control center. We begin by presenting a recent framework that characterizes the attack as an optimization problem with the objective specified through a security metric and constraints corresponding to the attack cost. The framework is used to conduct realistic experiments on a state-of-the-art SCADA EMS software for a power network example with 14 substations, 27 buses, and 40 branches. The results indicate how state estimators for power networks can be made more resilient to cyber security attacks.

The electrical power network is a critical infrastructure in today's society, so its safe and reliable operation is of major concern. State estimators are commonly used in power networks, for example, to detect faulty equipment and to optimally route power flows. The estimators are often located in control centers, to which large numbers of measurements are sent over unencrypted communication channels. Therefore cyber security for state estimators becomes an important issue. In this paper we analyze the cyber security of state estimators in supervisory control and data acquisition (SCADA) for energy management systems (EMS) operating the power network. Current EMS state estimation algorithms have bad data detection (BDD) schemes to detect outliers in the measurement data. Such schemes are based on high measurement redundancy. Although these methods may detect a set of basic cyber attacks, they may fail in the presence of an intelligent attacker. We explore the latter by considering scenarios where stealthy deception attacks are performed by sending false information to the control center. We begin by presenting a recent framework that characterizes the attack as an optimization problem with the objective specified through a security metric and constraints corresponding to the attack cost. The framework is used to conduct realistic experiments on a state-of-the-art SCADA EMS software for a power network example with 14 substations, 27 buses, and 40 branches. The results indicate how state estimators for power networks can be made more resilient to cyber security attacks.

In order to promote public education and public safety, equal justice for all, a better informed citizenry, the rule of law, world trade and world peace, this legal document is hereby made available on a noncommercial basis, as it is the right of all humans to know and speak the laws that govern them. (For more information: 12 Tables of Code ) Name of Standards Organization: Bureau of Indian Standards (BIS) Division Name: Electronics and Information Technology Section Name: Power System Control and Associated Communications (LITD 10) Designator of Legally Binding Document: IS 15654 Title of Legally Binding Document: Supervisory control and data acquisition (SCADA) system for oil and gas pipeline Number of Amendments: Equivalence: Superceding: Superceded by: LEGALLY BINDING DOCUMENT Step Out From the Old to the New --Jawaharlal Nehru Invent a new India using knowledge. --Satyanarayan Gangaram Pitroda

IX C. Utility SCADA

The operation of maintenance in the railway industry is high priorities for safety which reflects the train services. The Kelana Jaya Line (KJL) is the leading urban metro train operator among light rail transit (LRT) categories in Malaysia. The main issue in KJL, they are facing huge historical data from the supervisory control and data acquisition (SCADA) logger when organizing the corrective maintenance work schedule. The previous conventional method leads to time constraint which causes redundancy of data reading. Hence, SCADA Dashboard was developed as a tool to structure their work prioritization for weekly planning. It was developed by using Microsoft Power Query and Power Pivot, in the advanced Excel software. The dashboard evaluation was performed based on usability and user experience studies. The evaluation test proves that the dashboard can be used effectively and it’s beneficial to the organizations as well as a contribution towards systematic maintenance.

The operation of maintenance in the railway industry is high priorities for safety which reflects the train services. The Kelana Jaya Line (KJL) is the leading urban metro train operator among light rail transit (LRT) categories in Malaysia. The main issue in KJL, they are facing huge historical data from the supervisory control and data acquisition (SCADA) logger when organizing the corrective maintenance work schedule. The previous conventional method leads to time constraint which causes redundancy of data reading. Hence, SCADA Dashboard was developed as a tool to structure their work prioritization for weekly planning. It was developed by using Microsoft Power Query and Power Pivot, in the advanced Excel software. The dashboard evaluation was performed based on usability and user experience studies. The evaluation test proves that the dashboard can be used effectively and it’s beneficial to the organizations as well as a contribution towards systematic maintenance.

The operation of maintenance in the railway industry is high priorities for safety which reflects the train services. The Kelana Jaya Line (KJL) is the leading urban metro train operator among light rail transit (LRT) categories in Malaysia. The main issue in KJL, they are facing huge historical data from the supervisory control and data acquisition (SCADA) logger when organizing the corrective maintenance work schedule. The previous conventional method leads to time constraint which causes redundancy of data reading. Hence, SCADA Dashboard was developed as a tool to structure their work prioritization for weekly planning. It was developed by using Microsoft Power Query and Power Pivot, in the advanced Excel software. The dashboard evaluation was performed based on usability and user experience studies. The evaluation test proves that the dashboard can be used effectively and it’s beneficial to the organizations as well as a contribution towards systematic maintenance.

This system presents the monitoring and control of real time data acquisition of a solar power system in reliance SCADA. SCADA supervisory control and data acquisition systems are currently employed in many applications, such as home automation, greenhouse automation, and hybrid power systems. Commercial SCADA systems are costly to set up and maintain therefore those are not used for small renewable energy systems. This system demonstrates applying Reliance SCADA and Arduino Uno on a small photovoltaic PV power system to monitor the current, voltage, of the PV and battery and also control the load from SCADA. The designed system uses low cost sensors, an Arduino Uno microcontroller, and free Reliance SCADA software. The Arduino Uno microcontroller collects data from sensors and communicates with a computer through a USB cable. Uno has been programmed to transmit data to Reliance SCADA on PC. In addition, Modbus library has been uploaded on Arduino to allow communication between the Arduino and our SCADA system by using the MODBUS RTU protocol. The results of the experiments demonstrate that SCADA works in real time and can be effectively used in monitoring a solar energy system. By Khin Pyone Ei Aung | Nyan Phyo Aung | Lwin Lwin Htay "Monitoring and Control of Solar Power System using Reliance SCADA" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26459.pdf Paper URL https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26459/monitoring-and-control-of-solar-power-system-using-reliance-scada/khin-pyone-ei-aung

The world has been revolutionized with the introduction of automation in almost all productivity, decreasing costs of manufacturing, improving quality and more importantly upgrading of working condition of the human labour.  As we all know that water is very fragile natural resource which is very essential for every individual. So it’s become very mandatory to handle water properly in sophisticated way. Earlier water was supplied in metropolitan area’s was not so automated. So it becomes unprecised and water was not managed properly as per the requirement of various zones as they were mostly manually operated which results wastage of water. With the help of Programmable Logic Control (PLC) we have developed automatic control of Elevated Service Reservoir (ESR) which was previously done manually which leads to wastage of water in great extent. It not only controls but also it monitors whole process with the help of Supervisory Control and Data Acquisition (SCADA)

This presentation will tackle both red teaming methodologies and threat modeling for industrial control system and the presenter will showcase security-in-depth where “air-gap” is not possible to implement within the organization to battle against both insider and cyber threats’ using sophisticated tools, techniques, and procedures. Along with this, various industries best practices and compliance will be shared on this talk to ensure nothing will be miss-out in addressing the OT network security. Key Take Away Practical implementation of Defense-in-Depth for OT environment. Learn the best practices in ICS/SCADA security. Know the adversaries TTP’s through “Red Teaming”. === Michael Rebultan, aka “Art”, has more than 15 years of experience as an IT professional with a background in PCI-DSS audit, Unix/Linux server administration and lockdown, R&D, VAPT, and currently a DFIR in both IT and ICS/SCADA environment. He holds a master degree in IT with major in e-commerce security and with a professional graduate diploma in Digital Forensics and Cybersecurity as continuing education. Mike has spoken at FOSS Asia, Null, PEHCON (PH), Linux Meet-Up Group (SG). He specialises in Computer Forensics, Network Intrusion, Data Breach, Global Cybercrime, Volatile Memory, and Malware Analysis. Source: https://www.youtube.com/watch?v=2EoA13t2e7E Uploader: Hack In The Box Security Conference

Supervisory Control and Data Acquisition (SCADA) systems support and control the operation of many critical infrastructures that our society depend on, such as power grids. Since SCADA systems become a target for cyber attacks and the potential impact of a successful attack could lead to disastrous consequences in the physical world, ensuring the security of these systems is of vital importance. A fundamental prerequisite to securing a SCADA system is a clear understanding and a consistent view of its architecture. However, because of the complexity and scale of SCADA systems, this is challenging to acquire. In this paper, we propose a layered architectural view for SCADA systems, which aims at building a common ground among stakeholders and supporting the implementation of security analysis. In order to manage the complexity and scale, we define four interrelated architectural layers, and uses the concept of viewpoints to focus on a subset of the system. We indicate the applicability of our approach in the context of SCADA system security analysis.

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welcome.atlasgov.com/blog/mercado/scada/

Perma.cc archive of https://www.cisa.gov/uscert/ics/advisories/icsa-21-229-03 created on 2022-07-15 04:38:12.268288+00:00.

Perma.cc archive of https://www.cisa.gov/uscert/ics/advisories/icsa-21-229-03 created on 2022-07-15 04:38:12.268288+00:00.

Perma.cc archive of https://www.cisa.gov/uscert/ics/advisories/icsa-21-229-03 created on 2022-07-15 04:38:12.268288+00:00.

29c3 5059 en scada strangelove h264

IEEE PLC and SCADA A Water Industry Experience

IEEE PLC and SCADA A Water Industry Experience

Tables of data obtained in the survey of utility usage and conservation opportunities at Fort Campbell, Kentucky.

SCADA systems are one of the most important part of industrial operations. Before SCADA, plant personnel had to monitor and control industrial process via selector switches, pushbuttons and dials for analog signals. As manufacturing grew and sites became more remote, relays and timers were used to assist supervision. With the onset of technology and advent of network based protocols, these systems became more reliable, fast and it became easy to troubleshoot problems. Indeed progress also brings vulnerabilities, which was no new for SCADA. The IP protocols brought threat to the security of these systems. The devastation that cyber predators on SCADA can inflict, could be illustrated by the Stuxnet virus attack. This paper discusses what SCADA systems are, their uses, protocols being used by these systems, vulnerabilities and ways to combat those vulnerabilities. It focusses on the use of Blockchain Technology as a step in security of such systems. Diksha Chhonkar | Garima Pandey "SCADA Systems: Vulnerabilities and Blockchain Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31586.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-security/31586/scada-systems-vulnerabilities-and-blockchain-technology/diksha-chhonkar