Mobile phishing attacks and defence mechanisms: State of art and open research challenges

D Goel, AK Jain - Computers & Security, 2018 - Elsevier
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …

Defending against phishing attacks: taxonomy of methods, current issues and future directions

BB Gupta, NAG Arachchilage, KE Psannis - Telecommunication Systems, 2018 - Springer
Internet technology is so pervasive today, for example, from online social networking to
online banking, it has made people's lives more comfortable. Due the growth of Internet …

A review of human-and computer-facing url phishing features

K Althobaiti, G Rummani… - 2019 IEEE European …, 2019 - ieeexplore.ieee.org
When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …

Intelligent phishing detection scheme using deep learning algorithms

MA Adebowale, KT Lwin, MA Hossain - Journal of Enterprise …, 2023 - emerald.com
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …

Heuristic nonlinear regression strategy for detecting phishing websites

M Babagoli, MP Aghababa, V Solouk - Soft Computing, 2019 - Springer
In this paper, we propose a method of phishing website detection that utilizes a meta-
heuristic-based nonlinear regression algorithm together with a feature selection approach …

CatchPhish: detection of phishing websites by inspecting URLs

RS Rao, T Vaishnavi, AR Pais - Journal of Ambient Intelligence and …, 2020 - Springer
There exists many anti-phishing techniques which use source code-based features and third
party services to detect the phishing sites. These techniques have some limitations and one …

[HTML][HTML] A predictive model for phishing detection

AA Orunsolu, AS Sodiya, AT Akinwale - Journal of King Saud University …, 2022 - Elsevier
Nowadays, many anti-phishing systems are being developed to identify phishing contents in
online communication systems. Despite the availability of myriads anti-phishing systems …

I don't need an expert! making url phishing features human comprehensible

K Althobaiti, N Meng, K Vaniea - … of the 2021 CHI Conference on Human …, 2021 - dl.acm.org
Judging the safety of a URL is something that even security experts struggle to do accurately
without additional information. In this work, we aim to make experts' tools accessible to non …

S-Detector: an enhanced security model for detecting Smishing attack for mobile computing

JW Joo, SY Moon, S Singh, JH Park - Telecommunication Systems, 2017 - Springer
Recently the mobile computing technology has been generally used to people with the
development of the IT technology. The mobile computing environment has provided a …

Phishing page detection via learning classifiers from page layout feature

J Mao, J Bian, W Tian, S Zhu, T Wei, A Li… - EURASIP Journal on …, 2019 - Springer
The web technology has become the cornerstone of a wide range of platforms, such as
mobile services and smart Internet-of-things (IoT) systems. In such platforms, users' data are …