Phishing detection: a literature survey

M Khonji, Y Iraqi, A Jones - IEEE Communications Surveys & …, 2013 - ieeexplore.ieee.org
This article surveys the literature on the detection of phishing attacks. Phishing attacks target
vulnerabilities that exist in systems due to the human factor. Many cyber attacks are spread …

Fighting against phishing attacks: state of the art and future challenges

BB Gupta, A Tewari, AK Jain, DP Agrawal - Neural Computing and …, 2017 - Springer
In the last few years, phishing scams have rapidly grown posing huge threat to global
Internet security. Today, phishing attack is one of the most common and serious threats over …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Detection of phishing websites using an efficient feature-based machine learning framework

RS Rao, AR Pais - Neural Computing and applications, 2019 - Springer
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …

Phishing or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

A taxonomy of attacks and a survey of defence mechanisms for semantic social engineering attacks

R Heartfield, G Loukas - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Social engineering is used as an umbrella term for a broad spectrum of computer
exploitations that employ a variety of attack vectors and strategies to psychologically …

Phishing detection: analysis of visual similarity based approaches

AK Jain, BB Gupta - Security and Communication Networks, 2017 - Wiley Online Library
Phishing is one of the major problems faced by cyber‐world and leads to financial losses for
both industries and individuals. Detection of phishing attack with high accuracy has always …

Efficient deep learning techniques for the detection of phishing websites

M Somesha, AR Pais, RS Rao, VS Rathour - Sādhanā, 2020 - Springer
Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …

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 …

Phishing website detection using support vector machines and nature-inspired optimization algorithms

S Anupam, AK Kar - Telecommunication Systems, 2021 - Springer
Phishing websites are amongst the biggest threats Internet users face today, and existing
methods like blacklisting, using SSL certificates, etc. often fail to keep up with the increasing …