.png){kind=icon}
返回
Privacy Threat MOdeling Language
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3255548.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Online Social Networks (OSNs) are becoming pervasive in today's world. Millions of people worldwide are involved in different forms of online networking. However, this ease of use of OSNs comes with a cost in terms of privacy. Users of OSNs become victims of identity theft, cyberstalking, and information leakage, which are real threats to privacy. Consequently, new solutions need to be developed for addressing the threat scenarios to which a user is potentially exposed. In this sense, this paper presents PTMOL (Privacy Threat MOdeling Language) as an approach for modeling privacy threats in an OSN domain. The proposed language is related to the attempt to mitigate privacy threats at the design level, thus promoting concern about threats in the stages preceding the development of OSNs. Two studies were conducted to evaluate the use of PTMOL at the design stages, which provided insights into the correctness, completeness, ease of use, usefulness, user satisfaction, and feasibility of the proposal. The results indicated that PTMOL can be incorporated into software development during the design phase. Via the language, we expect to support designers in making more pre-emptive decisions about user privacy risk, and help them to introduce privacy early in the development cycle of OSNs.
Keyword:
Privacy
Data privacy
Threat modeling
Social networking (online)
Software
Privacy breach
Terminology
Empirical study
online social network
privacy threat
threat modeling
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Metrics for Privacy Assessment When Sharing Information in Online Social Networks.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏PERCEIVED USEFULNESS, PERCEIVED EASE OF USE, AND USER ACCEPTANCE OF INFORMATION TECHNOLOGY感知有用性、感知易用性和用户对信息技术的接受度
PREAI
分享收藏分享收藏分享收藏
查看更多内容