Malicious Account Detection on Indonesian Twitter Account

Latifah Alhaura, Indra Budi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rapid growth of social networks indeed triggers an increase in malicious activities, including the spread of false information, the creation of fake accounts, spamming, and malware distribution. However, developing a detection system that can identify accounts precisely becomes quite challenging. In this paper, we present a study related to the detection of malicious accounts on Twitter users from Indonesia. Our study objective is to propose a simple feature set to detect malicious accounts using only a few metadata and the tweet content itself from Twitter. We divided the classification level into three: Account level classification, tweet level classification, and combination of account and tweet level classification. To get the classification results, we applied some popular machine learning algorithms such as Random Forest, Decision Tree, AdaBoost Classifier, Neural Network, and Logistic Regression to each classification level. The results show that Random Forest achieved high classification accuracy (AUC >80%) in each classification level using our proposed feature set.

Original languageEnglish
Title of host publication2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
EditorsIndra Hermawan, Muhammad Yusuf Bagus Rasyidin, Malisa Huzaifa, Iklima Ermis Ismail, Asep Taufik Muharram, Anggi Mardiyono, Noorlela Marcheeta, Dewi Kurniawati, Ade Rahma Yuly, Ariawan Andi Suhanda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-181
Number of pages6
ISBN (Electronic)9781728182476
DOIs
Publication statusPublished - 15 Sep 2020
Event3rd International Conference on Computer and Informatics Engineering, IC2IE 2020 - Depok, Indonesia
Duration: 15 Sep 202016 Sep 2020

Publication series

Name2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020

Conference

Conference3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
Country/TerritoryIndonesia
CityDepok
Period15/09/2016/09/20

Keywords

  • account level classification
  • malicious account detection
  • tweet level classification
  • twitter

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