S.U.S. You're SUS! - Identifying Influencer Hackers on Dark Web Social Networks

Anum Paracha; Junaid Arshad; Muhammad Mubashir Khan

doi:10.1016/j.compeleceng.2023.108627

S.U.S. You're SUS! - Identifying Influencer Hackers on Dark Web Social Networks

Anum Paracha, Junaid Arshad, Muhammad Mubashir Khan

Research output: Contribution to journal › Article › peer-review

8 Citations (SciVal)

Original language	English
Article number	108627
Journal	Computers and Electrical Engineering
Volume	107
DOIs	https://doi.org/10.1016/j.compeleceng.2023.108627 https://doi.org/10.1016/j.compeleceng.2023.108627
Publication status	Published (VoR) - 20 Feb 2023

Funding

The authors would like to pay gratitude to the Cambridge Cyber Crime Center, UK for the provision and accessibility to the CrimeBB dataset, which has been used to conduct this research.

Keywords

Dark web
Threat Intelligence
Social Network Analysis
Semantic Analysis
Linear Regression
Feature Engineering

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@article{c88638514d77497c8943ffc0a590a225,

title = "S.U.S. You're SUS! - Identifying Influencer Hackers on Dark Web Social Networks",

keywords = "Dark web, Threat Intelligence, Social Network Analysis, Semantic Analysis, Linear Regression, Feature Engineering",

author = "Anum Paracha and Junaid Arshad and Khan, \{Muhammad Mubashir\}",

note = "Funding Information: The authors would like to pay gratitude to the Cambridge Cyber Crime Center, UK for the provision and accessibility to the CrimeBB dataset, which has been used to conduct this research. Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = feb,

day = "20",

doi = "10.1016/j.compeleceng.2023.108627",

language = "English",

volume = "107",

journal = "Computers and Electrical Engineering",

issn = "0045-7906",

publisher = "Elsevier",

}

TY - JOUR

T1 - S.U.S. You're SUS! - Identifying Influencer Hackers on Dark Web Social Networks

AU - Paracha, Anum

AU - Arshad, Junaid

AU - Khan, Muhammad Mubashir

N1 - Funding Information: The authors would like to pay gratitude to the Cambridge Cyber Crime Center, UK for the provision and accessibility to the CrimeBB dataset, which has been used to conduct this research. Publisher Copyright: © 2023

PY - 2023/2/20

Y1 - 2023/2/20

KW - Dark web

KW - Threat Intelligence

KW - Social Network Analysis

KW - Semantic Analysis

KW - Linear Regression

KW - Feature Engineering

UR - https://www.scopus.com/pages/publications/85148330075

UR - https://www.scopus.com/inward/citedby.url?scp=85148330075&partnerID=8YFLogxK

UR - https://www.open-access.bcu.ac.uk/14175/1/darkweb_paper___bcu_repo.pdf

U2 - 10.1016/j.compeleceng.2023.108627

DO - 10.1016/j.compeleceng.2023.108627

M3 - Article

SN - 0045-7906

VL - 107

JO - Computers and Electrical Engineering

JF - Computers and Electrical Engineering

M1 - 108627

ER -

S.U.S. You're SUS! - Identifying Influencer Hackers on Dark Web Social Networks

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Keywords

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