title: ÐÐ±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ ÑÐµÐ»Ð¾ÑÑÐ½Ð¾ÑÑÐ¸ ÑÐµÐ½ÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¿ÑÐ¸ ÑÐµÐ´ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾Ð¼ Ð¾Ð±ÑÑÐµÐ½Ð¸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 integrity of the global model for Federated Learning
Creators: name: Ð§ÐµÑÐºÐ¸Ð´Ð¾Ð², ÐÐ°ÑÐ¸Ð»Ð¸Ð¹
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: 2024
Subjects: ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐÐ½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ
ÑÐµÐ´ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐµÐ»Ð¾ÑÑÐ½Ð¾ÑÑÑ Ð´Ð°Ð½Ð½ÑÑ
ÑÐµÐ½ÑÑÐ°Ð»ÑÐ½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
Ð³Ð¾Ð¼Ð¾Ð¼Ð¾ÑÑÐ½Ð¾Ðµ ÑÐ¸ÑÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
federated learning
data integrity
global model
homomorphic encryption

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description: The purpose of the study is to increase the level of security of the global model in federated learning systems. The subject of the research is the methods of ensuring the integrity of the global model in federated learning systems. The research set the following goals: 1. Research of the features of ensuring the security of the global model in federated learning. 2. Development of an approach that ensures the integrity of the global model and data confidentiality in federated learning systems. 3. Experimental studies of the developed solution. During the work Linux kernel network stack implementation and architecture were studied. Modern studies in Linux kernel security and vulnerabilities scanning areas were analyzed. The work resulted in development of an approach to ensure the security of the global model of federated learning from external and internal threats. In this approach, the use of homomorphic encryption ensures data confidentiality and protects the model from attacks by external intruders. To protect against internal intruders, the "trusted node group" method was developed, which checks for client updates before aggregation. The results could be used as a base for the design of federated learning systems.