Abstract

The increase in the automated attacks has motivated security researchers to focus on identifying patterns of attacker to safeguard the system. Humans have some basic behavioral characteristics and limitations, which can be identified and used to distinguish them from automated attackers. The network log data collected from a Honeypot uncovers such traits which are otherwise not noticeable. The paper analyses a SSH-based Honeypot deployed over a period of 423 days to identify human behavior traits which can essentially distinguish an automated attacker and a human attacker.

Original languageEnglish (US)
Title of host publication7th International Symposium on Digital Forensics and Security, ISDFS 2019
EditorsAsaf Varol, Murat Karabatak, Cihan Varol, Sevginur Teke
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728128276
DOIs
StatePublished - Jun 2019
Event7th International Symposium on Digital Forensics and Security, ISDFS 2019 - Barcelos, Portugal
Duration: Jun 10 2019Jun 12 2019

Publication series

Name7th International Symposium on Digital Forensics and Security, ISDFS 2019

Conference

Conference7th International Symposium on Digital Forensics and Security, ISDFS 2019
CountryPortugal
CityBarcelos
Period6/10/196/12/19

Keywords

  • Behavioral analysis
  • Bot
  • Brute force attacks
  • Honeypot
  • SSH

ASJC Scopus subject areas

  • Health Informatics
  • Pathology and Forensic Medicine
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Udhani, S., Withers, A., & Bashir, M. (2019). Human vs bots: Detecting human attacks in a honeypot environment. In A. Varol, M. Karabatak, C. Varol, & S. Teke (Eds.), 7th International Symposium on Digital Forensics and Security, ISDFS 2019 [8757534] (7th International Symposium on Digital Forensics and Security, ISDFS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISDFS.2019.8757534