A comprehensive survey of phishing: Mediums, intended targets, attack and defence techniques and a novel taxonomy
The recent surge in phishing incidents in the post-COVID era poses a serious threat towards
the social and economic well-being of users. The escalation in dependency upon the …
the social and economic well-being of users. The escalation in dependency upon the …
[HTML][HTML] Artificial Intelligence Technologies Revolutionizing Wastewater Treatment: Current Trends and Future Prospective
Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …
quality prediction has the potential to revolutionize traditional approaches and address …
HTTP header based phishing attack detection using machine learning
S Shukla, M Misra, G Varshney - Transactions on Emerging …, 2024 - Wiley Online Library
In the past, many techniques like blacklisting/whitelisting, third‐party, search engine, visual
similarity, heuristic, URL features, and website content were used for anti‐phishing. Search …
similarity, heuristic, URL features, and website content were used for anti‐phishing. Search …
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
In the continuously developing field of cyber security, user authentication and authorization
play a vital role in protecting personal information and digital assets from unauthorized use …
play a vital role in protecting personal information and digital assets from unauthorized use …
Single and hybrid-ensemble learning-based phishing website detection: examining impacts of varied nature datasets and informative feature selection technique
To tackle issues associated with phishing website attacks, the study conducted rigorous
experiments on RF, GB, and CATB classifiers. Since each classifier was an ensemble …
experiments on RF, GB, and CATB classifiers. Since each classifier was an ensemble …
Deep reinforcement learning-based malicious url detection with feature selection
Data theft through web applications that emulate legitimate platforms constitutes a major
network security issue. Countermeasures using artificial intelligence (AI)-based systems are …
network security issue. Countermeasures using artificial intelligence (AI)-based systems are …
Uncovering the Cloak: A Systematic Review of Techniques Used to Conceal Phishing Websites
Phishing represents a cybersecurity attack strategy commonly employed by cybercriminals
to unlawfully acquire sensitive user information, including passwords, account details, credit …
to unlawfully acquire sensitive user information, including passwords, account details, credit …
URL based phishing attack detection using BiLSTM-gated highway attention block convolutional neural network
M Nanda, S Goel - Multimedia Tools and Applications, 2024 - Springer
Phishing is an attack that attempts to replicate the official websites of businesses, including
government agencies, financial institutions, e-commerce platforms, and banks. These …
government agencies, financial institutions, e-commerce platforms, and banks. These …
An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …
learning models for various cyberattack detection from the past 5 years with a major …
Multiscale Feature Fusion and Graph Convolutional Network for Detecting Ethereum Phishing Scams
Z Chen, J Huang, S Liu, H Long - Electronics, 2024 - mdpi.com
With the emergence of blockchain technology, the cryptocurrency market has experienced
significant growth in recent years, simultaneously fostering environments conducive to …
significant growth in recent years, simultaneously fostering environments conducive to …