Deep learning for phishing detection: Taxonomy, current challenges and future directions

NQ Do, A Selamat, O Krejcar, E Herrera-Viedma… - Ieee …, 2022 - ieeexplore.ieee.org
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 …

DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)

S Ur Rehman, M Khaliq, SI Imtiaz, A Rasool… - Future Generation …, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks can put the communication networks
in instability by throwing malicious traffic and requests in bulk over the network. Computer …

Challenge or hindrance? How and when organizational artificial intelligence adoption influences employee job crafting

B Cheng, H Lin, Y Kong - Journal of Business Research, 2023 - Elsevier
While organizations are increasingly adopting artificial intelligence (AI), little is known about
employees' reactions to this new work environment. This study utilizes the transactional …

A survey of intelligent detection designs of HTML URL phishing attacks

S Asiri, Y Xiao, S Alzahrani, S Li, T Li - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social
engineering attacks where an attacker deceives users by sending fake messages using …

Smart phishing detection in web pages using supervised deep learning classification and optimization technique ADAM

L Lakshmi, MP Reddy, C Santhaiah… - Wireless Personal …, 2021 - Springer
Phishing is the process of portraying malignant web pages in the place of genuine web
pages to obtain important and delicate information from the end-user. Nowadays phishing is …

[HTML][HTML] A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

Phishing or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

[HTML][HTML] A hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …

[HTML][HTML] Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

[HTML][HTML] A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions

AR Javed, Z Jalil, W Zehra, TR Gadekallu… - … Applications of Artificial …, 2021 - Elsevier
With the explosive advancements in smartphone technology, video uploading/downloading
has become a routine part of digital social networking. Video contents contain valuable …