作者
Malik Mateen, Muhammad Azhar Iqbal, Muhammad Aleem, Muhammad Arshad Islam
发表日期
2017/1/10
研讨会论文
2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST)
页码范围
466-471
出版商
IEEE
简介
Online social networks (OSNs) are becoming extremely popular among Internet users as they spend significant amount of time on popular social networking sites like Facebook, Twitter and Google+. These sites are turning out to be fundamentally pervasive and are developing a communication channel for billions of users. Online community use them to find new friends, update their existing friends list with their latest thoughts and activities. Huge information available on these sites attracts the interest of cyber criminals who misuse these sites to exploit vulnerabilities for their illicit benefits such as advertising some product or to attract victims to click on malicious links or infecting users system just for the purpose of making money. Spam detection is one of the major problems these days in social networking sites such as twitter. Most previous techniques use different set of features to classify spam and non-spam …
引用总数
201720182019202020212022202320242715221419211
学术搜索中的文章
M Mateen, MA Iqbal, M Aleem, MA Islam - 2017 14th international Bhurban conference on …, 2017