SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
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 …
An effective phishing detection model based on character level convolutional neural network from URL
Phishing is the easiest way to use cybercrime with the aim of enticing people to give
accurate information such as account IDs, bank details, and passwords. This type of …
accurate information such as account IDs, bank details, and passwords. This type of …
URLNet: Learning a URL representation with deep learning for malicious URL detection
Malicious URLs host unsolicited content and are used to perpetrate cybercrimes. It is
imperative to detect them in a timely manner. Traditionally, this is done through the usage of …
imperative to detect them in a timely manner. Traditionally, this is done through the usage of …
Detecting malicious urls using lexical analysis
The Web has long become a major platform for online criminal activities. URLs are used as
the main vehicle in this domain. To counter this issues security community focused its efforts …
the main vehicle in this domain. To counter this issues security community focused its efforts …
Web phishing detection using a deep learning framework
Web service is one of the key communications software services for the Internet. Web
phishing is one of many security threats to web services on the Internet. Web phishing aims …
phishing is one of many security threats to web services on the Internet. Web phishing aims …
CatchPhish: detection of phishing websites by inspecting URLs
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 …
party services to detect the phishing sites. These techniques have some limitations and one …
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 …
Malicious URL detection based on a parallel neural joint model
J Yuan, G Chen, S Tian, X Pei - Ieee Access, 2021 - ieeexplore.ieee.org
A parallel neural joint model algorithm is proposed for the analysis and detection of
malicious Uniform Resource Locator (URL). By detecting and analyzing malicious URL's …
malicious Uniform Resource Locator (URL). By detecting and analyzing malicious URL's …
On the character of phishing URLs: Accurate and robust statistical learning classifiers
R Verma, K Dyer - Proceedings of the 5th ACM Conference on Data and …, 2015 - dl.acm.org
Phishing attacks resulted in an estimated $3.2 billion dollars worth of stolen property in
2007, and the success rate for phishing attacks is increasing each year [17]. Phishing …
2007, and the success rate for phishing attacks is increasing each year [17]. Phishing …