@inproceedings{4addf245e76547648967bfe399c94a58,
title = "Oases: An Online Scalable Spam Detection System for Social Networks",
abstract = "Web-based social networks enable new community-based opportunities for participants to engage, share their thoughts, and interact with each other. Theses related activities such as searching and advertising are threatened by spammers, content polluters, and malware disseminators. We propose a scalable spam detection system, termed Oases, for uncovering social spam in social networks using an online and scalable approach. The novelty of our design lies in two key components: (1) a decentralized DHT-based tree overlay deployment for harvesting and uncovering deceptive spam from social communities; and (2) a progressive aggregation tree for aggregating the properties of these spam posts for creating new spam classifiers to actively filter out new spam. We design and implement the prototype of Oases and discuss the design considerations of the proposed approach. Our large-scale experiments using real-world Twitter data demonstrate scalability, attractive load-balancing, and graceful efficiency in online spam detection for social networks.",
keywords = "DHT based overlay, Online social networks, Spam detection",
author = "Hailu Xu and Liting Hu and Pinchao Liu and Yao Xiao and Wentao Wang and Jai Dayal and Qingyang Wang and Yuzhe Tang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th IEEE International Conference on Cloud Computing, CLOUD 2018 ; Conference date: 02-07-2018 Through 07-07-2018",
year = "2018",
month = sep,
day = "7",
doi = "10.1109/CLOUD.2018.00020",
language = "English (US)",
series = "IEEE International Conference on Cloud Computing, CLOUD",
publisher = "IEEE Computer Society",
pages = "98--105",
booktitle = "Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services",
address = "United States",
}