Wireless Real-time Meter Data Acquisition System

Sidhartha, Dodla; Mahendra, Lagineni; JaganMohan, Katta; Kumar, R. K. Senthil; Bindhumadhava, B. S.

doi:10.1109/tencon.2019.8929650

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The DLMS-COSEM [1] authentication mechanism provides the process of authenticating clients. The client [7] follows any one of the authentication mechanisms to authenticate itself during the application association. There are eight authenticating mechanisms available they are High Level Security using MD5 3…”

Section: Authentication In Dlms-cosemmentioning

confidence: 99%

Secure DLMS/COSEM communication for Next Generation Advanced Metering Infrastructure

Shanmukesh¹,

Mahendra²,

JaganMohan³

et al. 2021

AJCT

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Power System infrastructure is one of the critical components of any nation. The automation of the power system is essential for the reliable and secure operation of the grid. Data plays a vital role in any automated system. So, data security should be inherently present in any automated system for the proper operation of the available components. For the automation of metering system, Advanced Metering Infrastructure (AMI) is being deployed in the power system. A smart meter is a critical component of AMI, whose data is used for load forecasting, scheduling, billing, and energy management. DLMS-COSEM acts as an application layer protocol for meter data exchange. This paper provides a detailed understanding of the DLMS-COSEM communication vulnerabilities, communication attack scenarios, high-security features, authentication procedures and suggests the best methodologies to be followed by a client or third-party system while communicating to the DLMS-COSEM servers in order to have a secure data exchange.

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Section: Authentication In Dlms-cosemmentioning

confidence: 99%

Secure DLMS/COSEM communication for Next Generation Advanced Metering Infrastructure

Shanmukesh¹,

Mahendra²,

JaganMohan³

et al. 2021

AJCT

Self Cite

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“…Modbus TCP, which is regarded as one representative industrial communication protocol, has been widely applied in various critical infrastructures, including power generation, steel rolling, oil refinery, gas purification, and so on. In particular, with the rapid development of IIoT (industrial internet of things), many industrial wireless fields have collaborated Modbus TCP with other wireless communication protocols to perform various control, management, and monitoring activities of mobile devices or endpoints [1][2][3]. As a typical case, one wireless gateway can successfully apply Modbus TCP to realize industrial real-time traffic delivery for mobile sensors or actuators.…”

Section: Introductionmentioning

confidence: 99%

Extracting Function-Driven Tracing Characteristics for Optimized SVM Classification

Wan

Song

et al. 2021

Mobile Information Systems

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Due to its openness and simplicity, Modbus TCP has wide applications to facilitate the actual management and control in industrial wireless fields. However, its potential security vulnerabilities can also create lots of complicated information security challenges, which are increasingly threatening the availability of industrial real-time traffic delivery. Although anomaly detection has been recognized as a workable security measure to identify attacks, the critical step to successfully extract data characteristics is an extremely difficult task. In this paper, we focus on the continuous control mode in industrial processes and propose a control tracing feature algorithm to extract the function-driven tracing characteristics from Modbus TCP data traffic. Furthermore, this algorithm can flexibly integrate the time factor with critical functional operations and adequately describe the dynamic control change of technological processes. To closely cooperate with this algorithm, one optimized SVM (support vector machine) classifier is introduced as the practicable decision engine. By designing one applicable attack mode, we develop an in-depth and meticulous analysis on the decision accuracy, and all experimental results clearly explain that the extracted features can strongly reflect the changing pattern of continuous functional operations, and the proposed algorithm can effectively cooperate with the optimized SVM classifier to distinguish abnormal Modbus TCP data traffic.

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Programmable Wireless Adapter for Commercial Electric Drives and Multifunction Meters

Dutta,

et al. 2023

2023 Innovations in Power and Advanced Computing Technologies (I-Pact)

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Wireless Real-time Meter Data Acquisition System

Cited by 5 publications

References 7 publications

Secure DLMS/COSEM communication for Next Generation Advanced Metering Infrastructure

Secure DLMS/COSEM communication for Next Generation Advanced Metering Infrastructure

Extracting Function-Driven Tracing Characteristics for Optimized SVM Classification

Programmable Wireless Adapter for Commercial Electric Drives and Multifunction Meters

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