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Publications by Type: Technical Reports

LENS: LEveraging anti-social Network against Spam
Citation key HH-LLANAS-10
Author Hameed, Sufian and Hui, Pan
Year 2010
Address Berlin, Germany
Number 7
Month June
Institution Deutsche Telekom AG Laboratories
Abstract Spam is still an open problem from the network operator's perspective. The common state-of-the-art strategy to place filters against spam is at the recipient's edge. Although this strategy largely solves the spam problem from the user's perspective­ false positives/negatives may still exist­it cannot prevent spam from traversing the Internet. Consequently, spam continues to consume large amounts of Internet bandwidth­there are around 200 billion spam/day­and provokes non-negligible financial loss to network operators. Therefore it becomes imperative to mitigate spam much earlier than at the recipient's edge. This goal has been recently accomplished only partially by placing filters at the edge of a social circle within a social network. In this paper we introduce LENS, a novel spam protection system based on the anti-social networking paradigm, which further mitigates spam beyond social circles. The key idea of this paradigm in LENS is to let users select trusted users, called Gatekeepers (GKs), from outside their social circle and within predefined social distances. Unless a GK vouches for the emails of potential senders from outside the social circle of a particular recipient, those e-mails are prevented from transmission. In this way LENS drastically reduces the consumption of Internet bandwidth by spam to control messages only. To evaluate the scalability of LENS we use publicly available online social networks datasets and demonstrate that reliable email delivery from millions of potential users is possible using GKs in the order of hundreds.
Bibtex Type of Publication Technical Report
Link to publication [1] Download Bibtex entry [2]
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