Creating a live, public short message service corpus: the NUS SMS corpus

Chen, Tao; Kan, Min-Yen

doi:10.1007/s10579-012-9197-9

“…Also, the summary of NUS dataset signature detection results are shown in Table 7. The signature detection agents Chen et al [7] 55,835 …”

Section: Signature Detection Module Resultsmentioning

confidence: 99%

SMS-Based Mobile Botnet Detection Framework Using Intelligent Agents

Alzahrani

¹

,

Ghorbani²

2017

JCSM

3

0

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Along with increasing security measures in Android platforms, the amount of Android malware that use remote exploits has grown significantly. Using mobile botnets, attackers concentrate on reliable attack vectors such as SMS messages. Short Message Service (SMS) has been increasingly targeted by a number of malicious applications ("apps") that have the ability to abuse SMS features in order to send spam, to transfer command and control (C&C) instructions, to distribute malicious applications via URLs embedded in text messages, to send text messages to premium-rate numbers, and to exploit smartphones.In this paper, we propose an SMS-based botnet detection formwork that uses multi-agent technology based on observations of SMS and Android smartphone features. This formwork has the ability to detect SMS botnets and identify ways to block the attacks in order to prevent damage caused by botnet attacks. We developed an adaptive hybrid model of SMS botnet detectors by using a combination of signature-based and anomaly-based algorithms. These components utilize multi-agent technology to recognize malicious SMS and prevent users from opening these messages that infecting smartphones. 48 A. J. Alzahrani and A. A. Ghorbani This framework includes defence module that employed a more proactive approach that allows us to directly generate signatures and rules that can be used to protect Android smartphones from abuse by SMS botnets. The framework creates a user profile that is used to perform behavioural profiling analysis in order to identity malicious SMS and cut the C&C Channel.

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“…Twitter started relatively recently; the first tweet dates from October 2006 [8]. Twitter is growing fast and has now 250 million tweets daily according to Twitter blog on 27 January 2012 2 . Twitter provides an API 3 , which enables to collect Twitter messages with username, time and date stamp among other information.…”

Section: B Tweetsmentioning

confidence: 99%

Chats, Tweets and SMS in the SoNaR Corpus: Social Media Collection

Treurniet¹,

Sanders²

2012

1st Annual International Conference on Language, Literature &Amp; Linguistics (L3 2012)

2

0

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Abstract-In this paper we discuss the compilation of a social media corpus with chats, tweets and SMS text messages as part of the SoNaR corpus, a 500-million word reference corpus of written Dutch, comprising many different text categories. Social media are more and more becoming part of everyday life, which makes the need for social media corpora an urgent matter for research. Special focus was addressed to the collection of metadata and intellectual property rights (IPR). IPR was obtained both through licenses with platform owners, and by consent of individual contributors. Recruitment of participants was done by means of free publicity. The data will be available for research and commercial use.

show abstract

“…Twitter started relatively recently; the first tweet dates from October 2006 [8]. Twitter is growing fast and has now 250 million tweets daily according to Twitter blog on 27 January 2012 2 . Twitter provides an API 3 , which enables to collect Twitter messages with username, time and date stamp among other information.…”

Section: B Tweetsmentioning

confidence: 99%

“…In 2010, 6.1 trillion text messages were sent worldwide. 4 In general, SMS corpora are scarce and the data are often not publicly available [2]. This is mostly because of the private character of SMS.…”

Section: Smsmentioning

confidence: 99%

“…The corpus is collected by employing a combination of methods, to enable as many people as possible to contribute their messages. An application on the Google Android platform was developed, that allowed users to automatically send messages to the corpus [2]. Other possibilities of contribution included manually copying messages from the mobile device to an online website form or sending or instructions to generate an SMS back-up file from the mobile device and send it to the researchers.…”

Section: Smsmentioning

confidence: 99%

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Chats, Tweets and SMS in the SoNaR Corpus: Social Media Collection

Treurniet¹,

Sanders²

2012

PsycEXTRA Dataset

0

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Abstract-In this paper we discuss the compilation of a social media corpus with chats, tweets and SMS text messages as part of the SoNaR corpus, a 500-million word reference corpus of written Dutch, comprising many different text categories. Social media are more and more becoming part of everyday life, which makes the need for social media corpora an urgent matter for research. Special focus was addressed to the collection of metadata and intellectual property rights (IPR). IPR was obtained both through licenses with platform owners, and by consent of individual contributors. Recruitment of participants was done by means of free publicity. The data will be available for research and commercial use.

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Creating a live, public short message service corpus: the NUS SMS corpus

Cited by 61 publications

References 26 publications

SMS-Based Mobile Botnet Detection Framework Using Intelligent Agents

SMS-Based Mobile Botnet Detection Framework Using Intelligent Agents

Chats, Tweets and SMS in the SoNaR Corpus: Social Media Collection

Chats, Tweets and SMS in the SoNaR Corpus: Social Media Collection

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