{"product_id":"ieej-20240325c00701-012","title":"An approach to select and schedule the most appropriate sequence of security patches, for a large set of vulnerabilities in a power generation system, using game theory and reinforcement learning","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eCMN24029\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門 通信研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2024\/03\/25\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eAn approach to select and schedule the most appropriate sequence of security patches, for a large set of vulnerabilities in a power generation system, using game theory and reinforcement learning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eMinz Remish Leonard(Hitachi India Pvt. Ltd.),Yadav Geeta(Indian Institute of Technology, Ropar),Kalle Ritesh Kumar(Hitachi India Pvt. Ltd.)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eRemish Leonard Minz(Hitachi India Pvt. Ltd.),Geeta Yadav(Indian Institute of Technology, Ropar),Ritesh Kumar Kalle(Hitachi India Pvt. Ltd.)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003ePower grids|Security|Vulnerability|Countermeasures|Game Theory|Reinforcement Learning|Power grids|Security|Vulnerability|Countermeasures|Game Theory|Reinforcement Learning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eThe surge in cyberattacks on power grids emphasizes_x000D_\nthe need for protecting critical assets and ensuring power_x000D_\nreliability. However, maintaining reliability requires promptly_x000D_\naddressing vulnerabilities through security measures, which may_x000D_\ncause system downtime. Power demand requirements impose_x000D_\nstrict constraints on grid up-time, creating a trade-off between_x000D_\ngrid security and power availability. We propose a two stage_x000D_\noptimization method to minimize this trade-off for a power_x000D_\ngeneration plant. Firstly, we employ a game theory approach_x000D_\nto prioritize the vulnerabilities for applying security countermeasures_x000D_\nin the generation plant. Second, we use power demand_x000D_\nand supply data of an Indian city to forecast future Opportunity_x000D_\nWindow and use Reinforcement Learning to efficiently utilize_x000D_\nthe Opportunity Window to patch the prioritized vulnerabilities_x000D_\nfrom the first stage. We evaluate this approach on supervisory_x000D_\ncontrol system of a power generation plant.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eThe surge in cyberattacks on power grids emphasizes_x000D_\nthe need for protecting critical assets and ensuring power_x000D_\nreliability. However, maintaining reliability requires promptly_x000D_\naddressing vulnerabilities through security measures, which may_x000D_\ncause system downtime. Power demand requirements impose_x000D_\nstrict constraints on grid up-time, creating a trade-off between_x000D_\ngrid security and power availability. We propose a two stage_x000D_\noptimization method to minimize this trade-off for a power_x000D_\ngeneration plant. Firstly, we employ a game theory approach_x000D_\nto prioritize the vulnerabilities for applying security countermeasures_x000D_\nin the generation plant. Second, we use power demand_x000D_\nand supply data of an Indian city to forecast future Opportunity_x000D_\nWindow and use Reinforcement Learning to efficiently utilize_x000D_\nthe Opportunity Window to patch the prioritized vulnerabilities_x000D_\nfrom the first stage. We evaluate this approach on supervisory_x000D_\ncontrol system of a power generation plant.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌: \u003c\/strong\u003e\u003ca href=\"\/products\/ieej-20240325c00701\"\u003e2024年3月28日-2024年3月29日通信研究会\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e67-72 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e1,345 Kバイト\u003c\/p\u003e","brand":"IEEJ-P10","offers":[{"title":"冊子印刷（一般価格660円\/会員価格440円） \/ A4 \/ 6","offer_id":46352566681839,"sku":"IEEJ-20240325C00701-012-PRT","price":660.0,"currency_code":"JPY","in_stock":true},{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 6","offer_id":46355722567919,"sku":"IEEJ-20240325C00701-012-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-KENKYUKAI_78cb2b04-46b2-44e0-aa8d-7593f3540fca.png?v=1743252187","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-20240325c00701-012","provider":"電気学会 電子図書館","version":"1.0","type":"link"}