电子科技大学学报2024，Vol.53Issue(6)：900-910,11.DOI:10.12178/1001-0548.2023229
恶意社交机器人检测方法综述
Review of Detection Methods for Malicious Social Robots
摘要
Abstract
The characteristics of different types of social robots on large online social platforms such as Twitter,Facebook and Sina Weibo are reviewed in this paper.Based on the social robot detection framework,the advantages and disadvantages and applicability of social robot detection models based on machine learning,deep learning and other emerging detection methods are summarized and analyzed.It is found that social robots with different platforms and attack targets need to extract multi-dimensional features and design corresponding detection methods.Finally,this paper deeply explores and analyzes how to reduce the harm of social robots and measures to cope with the challenges of coexistence between human and social robots,and discusses and looks forward to how to improve the recognition accuracy and the development of hot technologies.关键词
社交机器人/机器学习/深度学习/舆论机器人/舆论操纵/恶意社交机器人Key words
social robot/machine learning/deep learning/public opinion robot/public opinion manipulation/malicious social robot分类
信息技术与安全科学引用本文复制引用
张鹏,秦瑞青,刘润东,兰月新,韦昱妃..恶意社交机器人检测方法综述[J].电子科技大学学报,2024,53(6):900-910,11.基金项目
教育部人文社会科学研究规划基金(22YJA860012) （22YJA860012）
警察大学科研重点专项(ZDZX202201) （ZDZX202201）
