SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

Merton Lansley; Francois Mouton; Stelios Kapetanakis; Nikolaos Polatidis

doi:10.1080/24751839.2020.1747001

SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

Merton Lansley, Francois Mouton, Stelios Kapetanakis, Nikolaos Polatidis

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

Original language	English
Journal	Journal of Information and Telecommunication
DOIs	https://doi.org/10.1080/24751839.2020.1747001
Publication status	Published - 10 Apr 2020

Bibliographical note

© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

Social Engineering
Online Chat Environments
Natural Language Processing
Machine Learning
Neural Networks
Ensemble Learning

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10.1080/24751839.2020.1747001Licence: CC BY-NC

SEADer social engineering attack detection in online environments using machine learningFinal published version, 1.84 MBLicence: CC BY-NC

Stelios Kapetanakis
- S.Kapetanakisbrighton.acuk
- School of Arch, Tech and Eng - Principal Lecturer
Person: Academic
Nikolaos Polatidis
- N.Polatidisbrighton.acuk
- School of Arch, Tech and Eng - Principal Lecturer
- Centre for Secure, Intelligent and Usable Systems
Person: Academic

Cite this

@article{8e863d7410c34aa380e3a87349bf662d,

title = "SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning",

keywords = "Social Engineering, Online Chat Environments, Natural Language Processing, Machine Learning, Neural Networks, Ensemble Learning",

author = "Merton Lansley and Francois Mouton and Stelios Kapetanakis and Nikolaos Polatidis",

note = "{\textcopyright} 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.",

year = "2020",

month = apr,

day = "10",

doi = "10.1080/24751839.2020.1747001",

language = "English",

journal = "Journal of Information and Telecommunication",

issn = "2475-1847",

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TY - JOUR

T1 - SEADer++

T2 - Social Engineering Attack Detection in Online Environments using Machine Learning

AU - Lansley, Merton

AU - Mouton, Francois

AU - Kapetanakis, Stelios

AU - Polatidis, Nikolaos

N1 - © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2020/4/10

Y1 - 2020/4/10

KW - Social Engineering

KW - Online Chat Environments

KW - Natural Language Processing

KW - Machine Learning

KW - Neural Networks

KW - Ensemble Learning

U2 - 10.1080/24751839.2020.1747001

DO - 10.1080/24751839.2020.1747001

M3 - Article

JO - Journal of Information and Telecommunication

JF - Journal of Information and Telecommunication

SN - 2475-1847

ER -

SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

Bibliographical note

Keywords

Access to Document

Profiles

Stelios Kapetanakis

Nikolaos Polatidis

Cite this