Strong and efficient defences have to be developed in response to the more-sophisticated
phishing attempts is deep learning algorithms. The extensive analysis, which spans 41 …

Malicious uniform resource locators (URLs) are prevalent in cyberattacks, particularly in
phishing attempts aimed at stealing sensitive information or distributing malware. Therefore …

The majority of people are using connecting media in recent times, like Facebook, Twitter,
LinkedIn, etc. People like to communicate on social websites as compared to direct …

Phishing attacks pose a significant threat to online security, utilizing fake websites to steal
sensitive user information. Deep learning techniques, particularly convolutional neural …

Phishing remains a prevalent and perilous cyber threat in the digital age, exploiting human
vulnerabilities to deceive individuals into disclosing sensitive information. This paper …

The internet is filled with documents written under false names or without revealing the
author's identity. Identifying the authorship of these documents can help decrease the …

Phishing is a special type of network attack and is one of the most common social
engineering techniques and easiest to use cybercrimes faced by general Internet users …

Finding malicious URLs in Tor is vital for preserving network security and privacy.
Subsequently, Tor affords anonymity by routing traffic over a sequence of relays, it's …

In order to stop hate speech spreaders on social media, researchers started developing
machine learning systems that automatically detect hate speech. In this paper we present …

The article discusses the latest research on the problem of fake activity associated with the
creation of phishing sites and the sending of phishing emails. The relevance of this problem …