Mark Karanfil

ORCID: 0000-0003-2202-9800
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About
Contact & Profiles
Research Areas
  • Smart Grid Security and Resilience
  • Microgrid Control and Optimization
  • Natural Language Processing Techniques
  • Software Engineering Research
  • Software-Defined Networks and 5G
  • Power Systems Fault Detection
  • Topic Modeling
  • Network Security and Intrusion Detection
  • Islanding Detection in Power Systems
  • Software Engineering Techniques and Practices
  • Smart Grid and Power Systems
  • Advanced Malware Detection Techniques
  • Smart Grid Energy Management

Concordia University
2016-2022

Concordia University
2022

In this work, we develop T2API, a statistical machine translation-based tool that takes given English description of programming task as query, and synthesizes the API usage template for by learning from training data. T2API works in two steps. First, it derives elements relevant to described input statistically StackOverflow corpus text descriptions corresponding code. To infer those elements, also considers context words textual often go together corpus. The inferred with their relevance...

10.1145/2950290.2983931 article EN 2016-11-01

Microgrids, as a major domain of smart grids, facilitate the integration distributed and renewable energy sources. They are capable operating autonomously when connection to main grid is difficult or cost-ineffective. As presence microgrids in becomes more common, it urgent protect microgrid from cyberattacks. In this paper, we present first design implementation security monitoring platform based on IEC 62351–7:2017 Network System Management (NSM). The capabilities demonstrated detailed...

10.1109/tsg.2022.3218934 article EN IEEE Transactions on Smart Grid 2022-11-04

According to the IEC 62351-7 standard, data collection using network and system management (NSM) can be used support security monitoring of smart grid. In this article, an NSM platform for a realistic 61850 substation model is developed specifications provided in 62351-7. model, grid measurements are ready take operative decisions, whereas collected leveraged detect cyberattacks and/or identify anomalies. The includes power components (e.g., transformers, lines, generators), controllers...

10.1109/tii.2021.3082079 article EN IEEE Transactions on Industrial Informatics 2021-05-19

We develop T2API, a context-sensitive, graph-based statistical translation approach that takes as input an English description of programming task and synthesizes the corresponding API code template for task. train T2API to statistically learn alignments between elements determine relevant elements. The training is done on StackOverflow, bilingual corpus which developers discuss problems in two types language: language. considers both context words query often go together corpus. derived...

10.1109/icsme.2018.00029 article EN 2018-09-01

We develop T2API, a context-sensitive, graph-based statistical translation approach that takes as input an English description of programming task and synthesizes the corresponding API code template for task. train T2API to statistically learn alignments between APIs determine relevant elements. The training is done on StackOverflow, which bilingual corpus developers discuss problems in two types language: language. considers both context words query elements often go together corpus....

10.1109/icse-c.2017.81 article EN 2017-05-01

Network and system management (NSM) plays an important role in ensuring end-to-end security of power systems. As defined IEC 62351-7, NSM provides awareness through the collection a large amount data order to monitor grid operational environments. In this paper, we follow 62351-7 guidelines develop platform for 61850 substations. Then, on top developed platform, build hybrid, deep learning rule-based, anomaly detection system. Furthermore, considering protocols, list potential cyber attacks...

10.1109/smartgridcomm.2019.8909710 article EN 2019-10-01

Microgrids are continuing to play a big role in the smart grids by offering higher reliability and integration of Distributed Energy Resources (DERs). Due their dependence on accurate authenticated data, microgrids subjected False Data Injection (FDI) attacks can have ability provide energy negatively impacted. In this paper, real-time centralized monitoring scheme is proposed detect mitigate FDI that falsely portray line fault. Passive devices deployed multiple regions microgrid,...

10.1109/pesgm52003.2023.10252928 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2023-07-16

Microgrids, as one of the major components smart grid, are among crucial pillars building a distributed and reliable energy infrastructure system. Therefore, ensuring secure attack-resilient operation microgrids paves way toward reaching end-to-end security in future grid. In this paper, we present first design implementation Network System Management (NSM) monitoring platform for accordance with specifications IEC 62351-7:2017 standard. The is deployed real-time Hardware-In-the-Loop (HIL)...

10.1109/isgt50606.2022.9817482 article EN 2022-04-24
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