检测对协同过滤推荐系统的操纵攻击的方法

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI:10.3103/S0146411623080047

A. D. Dakhnovich, D. S. Zagalsky, R. S. Solovey

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引用次数: 0

摘要

本文探讨了协同过滤推荐系统免受操纵攻击的安全性问题。分析并确定了最常见的攻击类型。提出了一种检测协同过滤推荐系统操纵攻击的改进方法。还进行了实验测试，并比较了改进方法与其他现有方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Method for Detecting Manipulation Attacks on Recommender Systems with Collaborative Filtering

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Method for Detecting Manipulation Attacks on Recommender Systems with Collaborative Filtering

The security of recommendation systems with collaborative filtering from manipulation attacks is considered. The most common types of attacks are analyzed and identified. A modified method for detecting manipulation attacks on recommendation systems with collaborative filtering is proposed. Experimental testing and a comparison of the effectiveness of the modified method with other current methods are carried out.

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision