Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Danesh Irani"'
Publikováno v:
EAI Endorsed Transactions on Collaborative Computing, Vol 1, Iss 1, Pp 1-14 (2014)
With the increasing dedication and sophistication of spammers, email spam is a persistent problem even today. Popular social network sites such as Facebook, Twitter, and Google+ are not exempt from email spam as they all interface with email systems.
Externí odkaz:
https://doaj.org/article/7bb15d9a886c427897ce426cc223cacc
Autor:
Calton Pu, João Eduardo Ferreira, Danesh Irani, Rodrigo Alves Lima, De Wang, Steve Webb, Abhijit Suprem, Aibek Musaev
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
With billions of active social media accounts and millions of live video cameras, live new big data offer many opportunities for smart applications. However, the main consumers of the new big data have been humans. We envision the research on live kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eda5f5c3a2a4dcaede6b8951638a565
Publikováno v:
EAI Endorsed Transactions on Collaborative Computing, Vol 1, Iss 1, Pp 1-14 (2014)
With the increasing dedication and sophistication of spammers, email spam is a persistent problem even today. Popular social network sites such as Facebook, Twitter, and Google+ are not exempt from email spam as they all interface with email systems.
Publikováno v:
IEEE Internet Computing. 15:13-19
Most people have multiple accounts on different social networks. Because these networks offer various levels of privacy protection, the weakest privacy policies in the social network ecosystem determine how much personal information is disclosed onli
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 4:82-89
Reaching hundreds of millions of users, major social networks have become important target media for spammers. Although practical techniques such as collaborative filters and behavioral analysis are able to reduce spam, they have an inherent lag (to
Publikováno v:
Social Network Analysis and Mining. 4
Social media such as Facebook, MySpace, and Twitter have become increasingly important for attracting millions of users. Consequently, spammers are increasing using such networks for propagating spam. Although existing filtering techniques such as co
Publikováno v:
CollaborateCom
With an average of 80% length reduction, the URL shorteners have become the norm for sharing URLs on Twitter, mainly due to the 140-character limit per message. Unfortunately, spammers have also adopted the URL shorteners to camouflage and improve th
Publikováno v:
CollaborateCom
Email spam is a persistent problem, especially today, with the increasing dedication and sophistication of spammers. Even popular social media sites such as Facebook, Twitter, and Google Plus are not exempt from email spam as they all interface with
Publikováno v:
CollaborateCom
With over 2.5 hours a day spent browsing websites online [1] and with over a billion pages [2], identifying and detecting web spam is an important problem. Although large corpora of legitimate web pages are available to researchers, the same cannot b
Publikováno v:
Detection of Intrusions and Malware, and Vulnerability Assessment ISBN: 9783642224232
DIMVA
DIMVA
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 feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18210a12678799193e83e27ae71a16e6
https://doi.org/10.1007/978-3-642-22424-9_4
https://doi.org/10.1007/978-3-642-22424-9_4