Phishing environments, techniques, and countermeasures: A survey
Phishing has become an increasing threat in online space, largely driven by the evolving
web, mobile, and social networking technologies. Previous phishing taxonomies have …
web, mobile, and social networking technologies. Previous phishing taxonomies have …
Phishing website detection with semantic features based on machine learning classifiers: a comparative study
A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
A survey of phishing attack techniques, defence mechanisms and open research challenges
AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …
eg, login information, credit/debit card details, and so on. Researchers have developed …
Malicious URL detection using machine learning: A survey
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 …
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …
Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …
approaches to defend against phishing attacks. Phishing detection solutions often report …
Utilisation of website logo for phishing detection
Phishing is a security threat which combines social engineering and website spoofing
techniques to deceive users into revealing confidential information. In this paper, we …
techniques to deceive users into revealing confidential information. In this paper, we …
Put your warning where your link is: Improving and evaluating email phishing warnings
Phishing emails often disguise a link's actual URL. Thus, common anti-phishing advice is to
check a link's URL before clicking, but email clients do not support this well. Automated …
check a link's URL before clicking, but email clients do not support this well. Automated …
Textual and visual content-based anti-phishing: a Bayesian approach
A novel framework using a Bayesian approach for content-based phishing web page
detection is presented. Our model takes into account textual and visual contents to measure …
detection is presented. Our model takes into account textual and visual contents to measure …
[HTML][HTML] PhiDMA–A phishing detection model with multi-filter approach
G Sonowal, KS Kuppusamy - Journal of King Saud University-Computer …, 2020 - Elsevier
Phishing remains a basic security issue in the cyberspace. In phishing, assailants steal
sensitive information from victims by providing a fake site which looks like the visual clone of …
sensitive information from victims by providing a fake site which looks like the visual clone of …
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features
In this paper, a novel approach based on non-inverse matrix online sequence extreme
learning machine (NIOSELM) for phishing detection is presented, which takes into account …
learning machine (NIOSELM) for phishing detection is presented, which takes into account …