#125 - SIGCOMM'17 Posters and Demos

Gareth Tyson
Matthew Grosvenor
Michael Welzl

Accepted

Final version (733kB) Aug 10, 2017, 5:32:06 PM UTC · 486001aa6ef3d410c06aeec24b5080712fa7098a8b12f8a1a41e208ada33d0a5486001aa

Submission version

Poster or Demo

Poster

Student Research Competition

Yes

Student Status

Graduate student

The explosion of bots on the Web brings an unprecedented increase in traffic from non-human sources. This work studies bot traffic on Twitter, finding that almost 50% of traffic is generated and propagated by a rapidly growing bot population - a major concern for networked systems in the future.

Z. Gilani, R. Farahbakhsh, G. Tyson, J. Crowcroft

Zafar Gilani (University of Cambridge) <szuhg2@cam.ac.uk>
Reza Farahbakhsh (Institut Mines Telecom) <reza.farahbakhsh@it-sudparis.eu>
Gareth Tyson (Queen Mary University of London) <g.tyson@qmul.ac.uk>
Jon Crowcroft (University of Cambridge) <jac22@cam.ac.uk>

Contacts

Zafar Gilani (University of Cambridge) <zafar.gilani@cl.cam.ac.uk>

Network measurements

ACM keywords:

information propagation; bot network traffic; bot generated content

ACM Computing Classification

10002951.10003260.10003282.10003292 Information systems~Social networks [500]
10003033.10003079.10011704 Networks~Network measurement [300]

Source files:
sigcomm17_bottraffic_cameraready_uploaded.zip (2MB)

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	OveMer	RevExp
Review #125A	4	3
Review #125B	4	1
Review #125C	4	3

Reviews in plain text

PC conflicts

Poster or Demo

Student Research Competition

Student Status

Abstract

Authors

Contacts

TopicsTopic

ACM keywords, ACM Computing Classification, and Source files

ACM keywords:

ACM Computing Classification

Source files: