Proactive phishing sites detection

A Nakamura, F Dobashi - IEEE/WIC/ACM International Conference on …, 2019 - dl.acm.org
Phishing is one of the social engineering techniques to steal users' sensitive information by
disguising a fake Web site as a trustworthy one. Previous research proposed phishing …

A novel phishing page detection mechanism using html source code comparison and cosine similarity

S Roopak, T Thomas - 2014 Fourth International Conference …, 2014 - ieeexplore.ieee.org
Phishing is a social engineering technique used by hackers to steal information and
sometimes money from online users. Phishing web sites are imitating sites of other …

Autoencoder Based Feature Selection for Phishing URL Attack Detection in IoT Using Stacked Autoencoder (AFS-SAE)

D Nanthiya, C Poongodi, K Jegadeesh… - 2022 13th …, 2022 - ieeexplore.ieee.org
With the rapid rise of the economy and technology, phishing assaults have increased in
recent years. Phishing can also be done with publicly available sources by attackers with …

The changing relationship between people and their job–the validity of career information

TB Borbély-Pecze - British Journal of Guidance & Counselling, 2020 - Taylor & Francis
An overview of the evolution of career information in light of the changing nature of the world
of work is presented. Owing to the constant fundamental changes in the labour market, the …

Machine learning and nature inspired based phishing detection: a literature survey

AA Akinyelu - International Journal on Artificial Intelligence Tools, 2019 - World Scientific
Phishing detection remains one of the most challenging problems currently faced by cyber
users as sophisticated phishing schemes evolves rapidly. This paper presents a …

SUBJECT MATTER EXPERTS'FEEDBACK ON EXPERIMENTAL PROCEDURES TO MEASURE USER'S JUDGMENT ERRORS IN SOCIAL ENGINEERING ATTACKS

T Pollock, Y Levy, W Li… - Journal of …, 2022 - digitalcommons.kennesaw.edu
Distracted users can fail to correctly distinguish the differences between legitimate and
malicious emails or search engine results. Mobile phone users can have a more challenging …

[PDF][PDF] Phishing Sites Detection from a Web Developer's Perspective Using Machine Learning.

X Zhou, RM Verma - HICSS, 2020 - academia.edu
The Internet has enabled unprecedented communication and new technologies.
Concomitantly, it has brought the bane of phishing and exacerbated vulnerabilities. In this …

NoFish; total anti-phishing protection system

DN Atimorathanna, TS Ranaweera… - … on Advancements in …, 2020 - ieeexplore.ieee.org
Phishing attacks have been identified by researchers as one of the major cyber-attack
vectors which the general public has to face today. Although many vendors constantly …

Client-side counter phishing application using adaptive neuro-fuzzy inference system

S Singh, AK Sarje, M Misra - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
Phishing is an online scam which involves identity theft of unsuspecting users, by which an
attacker steals the personal information of users, such as user ID or password. E-mails …

Convolutional neural network based ensemble approach for homoglyph recognition

MTH Majumder, MM Rahman, A Iqbal… - Mathematical and …, 2020 - mdpi.com
Homoglyphs are pairs of visual representations of Unicode characters that look similar to the
human eye. Identifying homoglyphs is extremely useful for building a strong defence …