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Detecting Suspicious Discussion on Online Forums Using Data Mining

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Intelligent Technologies and Applications (INTAP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 932))

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Abstract

As we know people are using lot of social business and many other platforms for different purposes by using internet. Huge amount of data is transferred over networks. Internet has made communication and business online very easy and fast. People are using internet world wide for different purposes. Where internet technology is used for positive purposes same as it is also used for negative or illegal activities. These platforms are also used for lot of illegal activities like terrorism, threads, violation of copyrights, phishing scams, frauds and spams etc. The law enforcement agencies and departments are trying to overcome these problems by using different techniques. This paper includes some tools and techniques to detect these illegal activities on online forums by identifying suspicious discussions, words, users and groups. Stop word, Stemming Algorithm, Suffix & Affix Stemmers, Emotional Algorithms, Levenshtein algorithm, Classification, Brute Force Algorithms and some statistical formulas are discussed in this paper to detect suspicious activities on online forums.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Islamabad, Pakistan

    Haroon ur Rasheed, Saba Bashir & Irsa Fatima

  2. Knowledge and Data Science Research Center, Department of Computer Science, College of E&ME, NUST, Islamabad, Pakistan

    Farhan Hassan Khan & Saba Bashir

Authors
  1. Haroon ur Rasheed
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  2. Farhan Hassan Khan
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  3. Saba Bashir
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  4. Irsa Fatima
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Corresponding author

Correspondence to Haroon ur Rasheed .

Editor information

Editors and Affiliations

  1. Department of Computer Science and IT, Islamia University of Bahawalpur, Baghdad, Pakistan

    Imran Sarwar Bajwa

  2. Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

    Fairouz Kamareddine

  3. Department of Computer Engineering and Digital Systems, University of Sao Paulo, São Paulo, Brazil

    Anna Costa

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ur Rasheed, H., Khan, F.H., Bashir, S., Fatima, I. (2019). Detecting Suspicious Discussion on Online Forums Using Data Mining. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_23

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  • DOI: https://doi.org/10.1007/978-981-13-6052-7_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6051-0

  • Online ISBN: 978-981-13-6052-7

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