@inproceedings{34e01df04f9445c0952f52a74118a761,
title = "Human vs bots: Detecting human attacks in a honeypot environment",
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.",
keywords = "Behavioral analysis, Bot, Brute force attacks, Honeypot, SSH",
author = "Shreya Udhani and Alexander Withers and Masooda Bashir",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th International Symposium on Digital Forensics and Security, ISDFS 2019 ; Conference date: 10-06-2019 Through 12-06-2019",
year = "2019",
month = jun,
doi = "10.1109/ISDFS.2019.8757534",
language = "English (US)",
series = "7th International Symposium on Digital Forensics and Security, ISDFS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Asaf Varol and Murat Karabatak and Cihan Varol and Sevginur Teke",
booktitle = "7th International Symposium on Digital Forensics and Security, ISDFS 2019",
address = "United States",
}