IMPACT ANALYSIS OF PROFILE INJECTION ATTACKS IN RECOMMENDER SYSTEM
نویسندگان
چکیده
منابع مشابه
Evaluation of Profile Injection Attacks In Collaborative Recommender Systems
Significant vulnerabilities have been identified in collaborative recommender systems. The open nature of collaborative filtering allows attackers to inject biased profile data and force the system to “adapt” in a manner advantageous to them. Previous work has shown both user-based and item-based recommender systems are vulnerable to the segment attack model. In this paper we focus on two techn...
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.................................................................................. iii TABLE OF CONTENTS................................................................... iv LIST OF FIGURES......................................................................... vii LIST OF TABLES........................................................................... viii
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Recent research has shown the significant vulnerabilities of collaborative recommender systems in the face of profile injection attacks, in which malicious users insert fake profiles into the rating database in order to bias the system’s output. A single Support Vector Machine (SVM) approach for the detection of profile injection attacks, however, suffers from low precision. With this problem i...
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اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
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ژورنال
عنوان ژورنال: INFORMATION TECHNOLOGY IN INDUSTRY
سال: 2021
ISSN: 2203-1731
DOI: 10.17762/itii.v9i1.155