Measuring, Characterizing, and Avoiding Spam Traffic Costs
| Autor: | Marcelo H. P. C. Chaves, Elverton Fazzion, Klaus Steding-Jessen, Dorgival Guedes, Cristine Hoepers, Pedro Las-Casas, Italo Cunha, Osvaldo Fonseca, Wagner Meira |
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| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Computer Networks and Communications business.industry Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology computer.software_genre Computer security Phishing Electronic mail Spamming Forum spam Srizbi botnet Spambot 0202 electrical engineering electronic engineering information engineering Malware Spam and Open Relay Blocking System business computer Computer network |
| Zdroj: | IEEE Internet Computing. 20:16-24 |
| ISSN: | 1941-0131 1089-7801 |
| DOI: | 10.1109/mic.2016.53 |
| Popis: | Spam messages propagate malware, disseminate phishing exploits, and advertise illegal products. Those messages generate costs for users and network operators, but it's difficult to measure the costs associated with spam traffic and determine who actually pays for it. Here, the authors provide a method to quantify the transit costs of spam traffic, identifying the routes traversed by spam messages collected at five honeypots. Combining the volume of spam traffic with traceroute measurements and a database of internetwork business relationships, they show that stub networks are systematically subject to high spam traffic costs. They also show that some networks profit from spam traffic and might not be interested in filtering it. Finally, a simple-but-effective algorithm is presented to identify the networks that would benefit from cooperating to filter spam traffic at the origin, to reduce transit costs. |
| Databáze: | OpenAIRE |
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