Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Discovery of the Twitter Bursty Botnet   Many Twitter users are bots. They can be used for spamming, opinion
manipulation and online fraud. Recently we discovered the Star Wars botnet,
consisting of more than 350,000 bots tweeting random quotations exclusively
from Star Wars novels. The bots were exposed because they tweeted uniformly
from any location within two rectangle-shaped geographic zones covering Europe
and the USA, including sea and desert areas in the zones. In this paper, we
report another unusual behaviour of the Star Wars bots, that the bots were
created in bursts or batches, and they only tweeted in their first few minutes
since creation. Inspired by this observation, we discovered an even larger
Twitter botnet, the Bursty botnet with more than 500,000 bots. Our preliminary
study showed that the Bursty botnet was directly responsible for a large-scale
online spamming attack in 2012. Most bot detection algorithms have been based
on assumptions of `common' features that were supposedly shared by all bots.
Our discovered botnets, however, do not show many of those features; instead,
they were detected by their distinct, unusual tweeting behaviours that were
unknown until now.

31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat