[HTML][HTML] A social network of crime: A review of the use of social networks for crime and the detection of crime

B Drury, SM Drury, MA Rahman, I Ullah - Online Social Networks and …, 2022 - Elsevier
Social media is used to commit and detect crimes. With automated methods, it is possible to
scale both crime and detection of crime to a large number of people. The ability of criminals …

Controlling astroturfing on the internet: a survey on detection techniques and research challenges

S Mahbub, E Pardede, ASM Kayes… - … journal of web and …, 2019 - inderscienceonline.com
Astroturfing is one of the most impactful threats on today's internet. It is the process of
masking and portraying a doctored message to the general population in a way as though it …

[HTML][HTML] An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud

K Nanath, L Olney - International Journal of Information Management Data …, 2023 - Elsevier
Misinformation on the web has become a problem of significant impact in an information-
driven society. Persistent and large volumes of fake content are being injected, and hence …

Detection of harassment type of cyberbullying: A dictionary of approach words and its impact

S Mahbub, E Pardede… - Security and …, 2021 - Wiley Online Library
The purpose of this paper is to analyse the effects of predatory approach words in the
detection of cyberbullying and to propose a mechanism of generating a dictionary of such …

A machine learning approach to detecting fraudulent job types

M Naudé, KJ Adebayo, R Nanda - AI & SOCIETY, 2023 - Springer
Job seekers find themselves increasingly duped and misled by fraudulent job
advertisements, posing a threat to their privacy, security and well-being. There is a clear …

Online recruitment fraud detection: A study on contextual features in australian job industries

S Mahbub, E Pardede, ASM Kayes - IEEE Access, 2022 - ieeexplore.ieee.org
The purpose of this study is to investigate the effects of contextual features on automatic
detection accuracy of online recruitment frauds in Australian job market. In addition, the …

Detecting online recruitment fraud using machine learning

H Tabassum, G Ghosh, A Atika… - 2021 9th international …, 2021 - ieeexplore.ieee.org
Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region.
Companies find it easier to hire people with the help of the internet rather than the old …

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

Z Ullah, M Jamjoom - PeerJ Computer Science, 2023 - peerj.com
With the rise of the Internet and social media, information has become available at our
fingertips. However, on the dark side, these advancements have opened doors for …

Identifying fake job posting using selective features and resampling techniques

H Afzal, F Rustam, W Aljedaani, MA Siddique… - Multimedia Tools and …, 2024 - Springer
The fake job posting has emerged as an alarming cyber-crime during the last few years
which affects both job seekers and companies alike. Fraudulent companies and individuals …

Detecting scam in online job vacancy using behavioral features extraction

O Nindyati, IGBB Nugraha - … on ICT for smart society (ICISS), 2019 - ieeexplore.ieee.org
To design a qualified training program so that the competence of job seekers can be in line
with the industrial needs, Training Need Analysis (TNA) should be conducted before …