社交网络中负责隐私协商的智能体行为追责  

Behavior Accountability of Agents Responsible for Privacy Negotiation in Social Networks

作　　者：古天龙 郝峰锐[2] 李龙 李晶晶 常亮[2] GU Tian-Long;HAO Feng-Rui;LI Long;LI Jing-Jing;CHANG Liang(College of Information Science and Technology/College of Cyber Security,Jinan University,Guangzhou 510632,China;Guangxi Key Laboratory of Trusted Software(Guilin University of Electronic Technology),Guilin 541004,China)

机构地区：[1]暨南大学信息科学技术学院/网络空间安全学院,广东广州510632 [2]广西可信软件重点实验室(桂林电子科技大学),广西桂林541004

出　　处：《软件学报》2022年第9期3453-3469,共17页Journal of Software

基　　金：国家自然科学基金(U1711263,U1811264,61966009,61961007,61862016);广西自然科学基金(2019GXNSFBA245049,2018GXNSFDA281045)。

摘　　要：隐私协商可以协助社交网络用户在信息分享前建立隐私保护共识,具有一定的隐私泄露的预先防护作用.可追责是行为或后果的责任主体可以被追究的属性,是透明、可解释人工智能应用的一个重要方面.社交网络中隐私协商过程的可追责,对于提升应用平台或系统的透明、可解释性具有重要的意义. Kekulluoglu等人提出了基于智能体的互惠隐私协商体系,但尚缺乏针对智能体行为的追责研究.以此为基础设计实现了用于社交网络隐私协商、具有定性追责和定量追责的智能体行为追责系统,并提出了追责要求及实现追责的行为指标,其中,定性追责方法可以准确判断隐私协商智能体是否存在不当行为并能够精准锁定不当行为具体发生位置;定量追责包含简单量化、加权马氏距离和改进Minhash这3种方法,能够量化智能体不当行为的严重程度.实验数据表明了所提出系统及方法的有效性和合理性.Privacy negotiation performs a pre-protective role against privacy disclosure as it can assist social network users to build a consensus on privacy protection before information sharing. Accountability is an attribute that a subject is responsible for an action or consequence, and it is an important aspect of transparent and explainable artificial intelligence applications. Accountability in the privacy negotiation process in social networks is of great significance for improving the transparency and explainability of application platforms or systems. Although Kekulluoglu et al. proposed an agent-based reciprocal privacy negotiation system, the accountability for the behaviors of agents was not discussed. For this reason, a novel system for agent behavior accountability during privacy negotiation in social networks is designed and implemented, and qualitative and quantitative accountability methods are developed. Moreover, requirements and behavior indicators are also proposed to achieve accountability. Specifically, the qualitative accountability method can accurately determine whether a privacy negotiation agent has misbehavior and pinpoint the specific location of the misbehavior. The quantitative accountability methods include simple quantification, weighted Mahalanobis distance, and improved Minhash and can quantify the severity of the agent’s misbehavior. The experimental data demonstrate the validity and rationality of the proposed system and methods.

关 键 词：社交网络 隐私保护 隐私协商 智能体 追责 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]