A comprehensive survey of AI-enabled phishing attacks detection techniques
In recent times, a phishing attack has become one of the most prominent attacks faced by
internet users, governments, and service-providing organizations. In a phishing attack, the …
internet users, governments, and service-providing organizations. In a phishing attack, the …
A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
Phishing website detection with semantic features based on machine learning classifiers: a comparative study
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 …
Machine learning based phishing detection from URLs
Due to the rapid growth of the Internet, users change their preference from traditional
shop** to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …
shop** to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …
Smart home security: challenges, issues and solutions at different IoT layers
Abstract The Internet of Things is a rapidly evolving technology in which interconnected
computing devices and sensors share data over the network to decipher different problems …
computing devices and sensors share data over the network to decipher different problems …
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 …
Applying machine learning and natural language processing to detect phishing email
A Alhogail, A Alsabih - Computers & Security, 2021 - Elsevier
The growth of online services has been accompanied by increased growth in cyber-attacks.
One of the most common effective attacks is phishing, in which attempts are made to steal …
One of the most common effective attacks is phishing, in which attempts are made to steal …
A comprehensive survey for intelligent spam email detection
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
Deep learning for phishing detection: Taxonomy, current challenges and future directions
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
Machine learning in cybersecurity: a comprehensive survey
Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …