A study on the psychology of social engineering-based cyberattacks and existing countermeasures
MA Siddiqi, W Pak, MA Siddiqi - Applied Sciences, 2022 - mdpi.com
As cybersecurity strategies become more robust and challenging, cybercriminals are
mutating cyberattacks to be more evasive. Recent studies have highlighted the use of social …
mutating cyberattacks to be more evasive. Recent studies have highlighted the use of social …
Business email compromise phishing detection based on machine learning: a systematic literature review
HF Atlam, O Oluwatimilehin - Electronics, 2022 - mdpi.com
The risk of cyberattacks against businesses has risen considerably, with Business Email
Compromise (BEC) schemes taking the lead as one of the most common phishing attack …
Compromise (BEC) schemes taking the lead as one of the most common phishing attack …
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 novel approach for phishing URLs detection using lexical based machine learning in a real-time environment
In recent times, we can see a massive increase in the number of devices that are being
connected to the internet. These devices include but are not limited to smartphones, IoT, and …
connected to the internet. These devices include but are not limited to smartphones, IoT, and …
Machine learning based phishing detection from URLs
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …
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 …
Cloud-based email phishing attack using machine and deep learning algorithm
Cloud computing refers to the on-demand availability of personal computer system assets,
specifically data storage and processing power, without the client's input. Emails are …
specifically data storage and processing power, without the client's input. Emails are …
Phishing detection system through hybrid machine learning based on URL
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
Cybersecurity awareness enhancement: a study of the effects of age and gender of Thai employees associated with phishing attacks
T Daengsi, P Pornpongtechavanich… - Education and …, 2022 - Springer
Cybersecurity is crucial at present because cyber threats (eg, phishing) have become a very
common occurrence in everyday life. A literature review showed that there are no studies …
common occurrence in everyday life. A literature review showed that there are no studies …
Efficient spam and phishing emails filtering based on deep learning
Nowadays, spam emails represent a severe threat to security and cause a big waste in
transmission time and users' time spent in browsing unsolicited bulk emails (UBE). This is in …
transmission time and users' time spent in browsing unsolicited bulk emails (UBE). This is in …