One-class classification with deep autoencoder neural networks for author verification in internet relay chat

Sicong Shao, Cihan Tunc, Amany Al-Shawi, Salim Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Social networks are highly preferred to express opinions, share information, and communicate with others on arbitrary topics. However, the downside is that many cybercriminals are leveraging social networks for cyber-crime. Internet Relay Chat (IRC) is the important social networks which can grant the anonymity to users by allowing them to connect channels without sign-up process. Therefore, IRC has been the playground of hackers and anonymous users for various operations such as hacking, cracking, and carding. Hence, it is urgent to study effective methods which can identify the authors behind the IRC messages. In this paper, we design an autonomic IRC monitoring system, performing recursive deep learning for classifying threat levels of messages and develop a novel author verification approach with one-class classification with deep autoencoder neural networks. The experimental results show that our approach can successfully perform effective author verification for IRC users.

Original languageEnglish (US)
Title of host publication16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728150529
DOIs
StatePublished - Nov 2019
Event16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 - Abu Dhabi, United Arab Emirates
Duration: Nov 3 2019Nov 7 2019

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2019-November
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Conference

Conference16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
CountryUnited Arab Emirates
CityAbu Dhabi
Period11/3/1911/7/19

Keywords

  • Author verification
  • Autoencoder
  • Cybersecurity
  • Deep learning
  • Internet Relay Chat (IRC)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'One-class classification with deep autoencoder neural networks for author verification in internet relay chat'. Together they form a unique fingerprint.

  • Cite this

    Shao, S., Tunc, C., Al-Shawi, A., & Hariri, S. (2019). One-class classification with deep autoencoder neural networks for author verification in internet relay chat. In 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019 [9035309] (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/AICCSA47632.2019.9035309