Unsupervised Scheme for Reverse Social Engineering Detection in Online Social Networks
نویسندگان
چکیده
منابع مشابه
Reverse Social Engineering Attacks in Online Social Networks
Social networks are some of the largest and fastest growing online services today. Facebook, for example, has been ranked as the second most visited site on the Internet, and has been reporting growth rates as high as 3% per week. One of the key features of social networks is the support they provide for finding new friends. For example, social network sites may try to automatically identify wh...
متن کاملA Profile-based Friend Detection Scheme for Online Social Networks
In past few years, users created friends with every other World Health Organization live or work near them, like neighbor or work place etc. this kind of friendly relationship is named as ancient means of constructing friends or G. Friend referred to as geographical primarily based friends .Now social networking services recommend friends to users based on their social graphs, which may not be ...
متن کاملA centralized privacy-preserving framework for online social networks
There are some critical privacy concerns in the current online social networks (OSNs). Users' information is disclosed to different entities that they were not supposed to access. Furthermore, the notion of friendship is inadequate in OSNs since the degree of social relationships between users dynamically changes over the time. Additionally, users may define similar privacy settings for their f...
متن کاملA categorization scheme for socialbot attacks in online social networks
In the past, online social networks (OSN) like Facebook and Twitter became powerful instruments for communication and networking. Unfortunately, they have also become a welcome target for socialbot attacks. Therefore, a deep understanding of the nature of such attacks is important to protect the Eco-System of OSNs. In this extended abstract we propose a categorization scheme of social bot attac...
متن کاملInterpersonal Trust in Online Scientific Social Networks: Causes and Results
Background and Aim: This study tends to investigate the reasons of interpersonal trust and the results of trust in online scientific social networks. Methods: The applied Research has been used cluster sampling to collect data. The study population consisted of Shiraz university and Persian Gulf university faculties. A sampling of 269 person was determined by Morgan table according to whole pop...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KIPS Transactions on Software and Data Engineering
سال: 2015
ISSN: 2287-5905
DOI: 10.3745/ktsde.2015.4.3.129