Research on modeling and simulation of communication in power SCADA system

Hou, Ai‐Jun; Hu, Chunchao; Ma, Kai; Cai, Zhuang; Huang, Chengqiao; Pan, Tianliang

doi:10.1109/drpt.2015.7432232

Cited by 5 publications

(6 citation statements)

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“…The threat of cyberattacks looms over SCADA systems that communicate with network protocols ( Mantere, Sailio & Noponen, 2013 ; Lee et al, 2014 ; Rahman, Jakaria & Al-Shaer, 2016 ; Amoah, 2016 ; Ahn et al, 2015 ). As such, Hou et al (2016) . investigated the detection of attacks within SCADA systems and network protocols, including the possibility of detecting attacks in smart grids using Dirichlet.…”

Section: Related Workmentioning

confidence: 97%

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Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems

Riyadi

Putra

Priyambodo

2021

PeerJ Computer Science

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Background Data transmissions using the DNP3 protocol over the internet in SCADA systems are vulnerable to interruption, interception, fabrication, and modification through man-in-the-middle (MITM) attacks. This research aims to improve the security of DNP3 data transmissions and protect them from MITM attacks. Methods This research describes a proposed new method of improving DNP3 security by introducing BRC4 encryption. This combines Beaufort encryption, in which plain text is encrypted by applying a poly-alphabetic substitution code based on the Beaufort table by subtracting keys in plain text, and RC4 encryption, a stream cipher with a variable-length key algorithm. This research contributes to improving the security of data transmission and accelerating key generation. Results Tests are carried out by key space analysis, correlation coefficient analysis, information entropy analysis, visual analysis, and time complexity analysis.The results show that to secure encryption processes from brute force attacks, a key of at least 16 characters is necessary. IL data correlation values were IL1 = −0.010, IL2 = 0.006, and IL3 = 0.001, respectively, indicating that the proposed method (BRC4) is better than the Beaufort or RC4 methods in isolation. Meanwhile, the information entropy values from IL data are IL1 = 7.84, IL2 = 7.98, and IL3 = 7.99, respectively, likewise indicating that the proposed method is better than the Beaufort or RC4 methods in isolation. Both results also show that the proposed method is secure from MITM attacks. Visual analysis, using a histogram, shows that ciphertext is more significantly distributed than plaintext, and thus secure from MITM attacks. The time complexity analysis results show that the proposed method algorithm is categorized as linear complexity.

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Section: Related Workmentioning

confidence: 97%

“…The analysis and detection of network anomalies must be carried out continuously and periodically, perhaps through modeling and simulation using the OPNET Modeler method ( Hou et al, 2016 ). Sniffing and DDOS attacks may be detected in smart grids with Novel IDS technology ( Shitharth & Winston, 2016 ).…”

Section: Related Workmentioning

confidence: 99%

Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems

Riyadi

Putra

Priyambodo

2021

PeerJ Computer Science

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“…As shown by several current publications, the Nordic 32 test system is still very relevant for power system analysis today [56,57,58,59]. Further, it is supported by the fact that the Nordic 32 test and vice versa to obtain measurement data and perform remote control [65].…”

Section: Mapping On a Corresponding Communication Infrastructurementioning

confidence: 98%

Enabling hard service guarantees in Software-Defined Smart Grid infrastructures

2018

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Information and Communication Technology (ICT) infrastructures play a key role in the evolution from traditional power systems to Smart Grids. Increasingly fluctuating power flows, sparked by the transition towards sustainable energy generation, become a major issue for power grid stability. To deal with this challenge, future Smart Grids require precise monitoring and control, which in turn demand for reliable, real-time capable and cost-efficient communications.For this purpose, we propose applying Software-Defined Networking (SDN) to handle the manifold requirements of Smart Grid communications. To achieve reliability, our approach encompasses fast recovery after failures in the communication network and dynamic service-aware network (re-)configuration. Network Calculus (NC) logic is embedded into our SDN controller for meeting latency requirements imposed by the standard IEC 61850 of the International Electrotechnical Commission (IEC). Thus, routing provides delay-optimal paths under consideration of existing cross traffic. Also, continuous latency bound compliance is ensured by combining NC delay supervision with means of flexible reconfiguration. For evaluation we consider the well-known Nordic 32 test system, on which we map a corresponding communication network in both experiment and emulation. The described functionalities are validated, employing $ c 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The formal version of this publication is realistic IEC 61850 transmissions and distributed control traffic. Our results show that hard service guarantees can be ensured with the help of the proposed SDN solution. On this basis, we derive extremely time critical services, which must not be subjected to flexible reconfiguration. Service Guarantees, Software-Defined Networking, Network Calculus.culus, for enabling respectively verifying hard service guarantee compliance.Afterwards, results of related work are described and compared to this article. Smart Grid Communication Use CasesSmart Grid communication requirements can be roughly divided into distribution and transmission grid use cases, as detailed below. While these power system levels exhibit widely diverging demands, SDN offers an integrated approach for associated communications. Managing the Distribution Power GridCommunication-dependent applications in the distribution power grid comprise Automated Meter Reading (AMR), DSM, monitoring and control of Distributed Energy Resources (DER), as well as coordination of EV charging. AMR is considered a fundamental function of smart distribution grids, providing measurement data as the basis for more advanced applications, such as novelty detection power meters [11]. For this concept machine learning is deployed on distributed energy measurement data to optimize the energy consumption times of end users. Also, anomalies can be detected, revealing energy consumption that deviates from common patterns (e.g. non-technical losses)....

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“…The threat of cyberattacks looms over SCADA systems that communicate with network protocols [22], [23], [27], [34], [38]. As such, A. Hou et al investigated the detection of attacks within SCADA systems and network protocols, including the possibility of detecting attacks in smart grids using Dirichlet [39]. Similarly, Mantere et al analyzed the detection of anomalies that could breach security [22].…”

Section: Related Workmentioning

confidence: 99%

Peer Review #2 of "Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems (v0.2)"

Rupapara¹

2021

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Research on modeling and simulation of communication in power SCADA system

Cited by 5 publications

References 0 publications

Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems

Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems

Enabling hard service guarantees in Software-Defined Smart Grid infrastructures

Peer Review #2 of "Improvement of nuclear facilities DNP3 protocol data transmission security using super encryption BRC4 in SCADA systems (v0.2)"

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