title: ÐÐ±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Ð·Ð°ÑÐ¸ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð¾Ð¹ Ð´Ð¸ÑÑÐµÑÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð¾Ð¹ ÐºÐ¾Ð½ÑÐ¸Ð´ÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Ensuring data confidentiality using local differential privacy
Creators: name: ÐÐ»ÐµÐ±Ð¾Ð²Ð°, ÐÐµÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
Ð´Ð¸ÑÑÐµÑÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð°Ñ ÐºÐ¾Ð½ÑÐ¸Ð´ÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð¾ÑÑÑ
Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð°Ñ Ð´Ð¸ÑÑÐµÑÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð°Ñ ÐºÐ¾Ð½ÑÐ¸Ð´ÐµÐ½ÑÐ¸Ð°Ð»ÑÐ½Ð¾ÑÑÑ
Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÑÐµÑÐ° ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐ½ÐµÑÐ³Ð¸Ð¸
Ð°ÑÐ°ÐºÐ° Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ°Ð±Ð»Ð¾Ð½Ð¾Ð² Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸
differential privacy
local differential privacy
intelligent electricity usage monitoring system
pattern-based load analysis attack

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description: The topic of the graduate qualification work is Â«Ensuring Data Confidentiality Using Local Differential PrivacyÂ». The purpose of the work is to ensure the confidentiality of user data in an intelligent electricity usage monitoring system using local differential privacy. Tasks to be solved during the study: 1. Analyze privacy attacks using the example of an intelligent electricity metering system. 2. Analyze existing methods for ensuring data confidentiality against the chosen attack. 3. Develop an algorithm for protecting data confidentiality based on local differential privacy. 4. Implement the proposed algorithm and conduct experimental testing of the developed software prototype. During the study, the main types of attacks in intelligent electricity metering systems targeting users confidential data and existing methods of protection against them were investigated and examined. As a result, a proprietary protection algorithm based on local differential privacy with support for dynamically incoming data was developed. The effectiveness of the proposed method was demonstrated. Further development of this algorithm will enable its application in real-world systems and enhance the level of confidentiality in the energy sector.