[HTML][HTML] A comprehensive survey of AI-enabled phishing attacks detection techniques

A Basit, M Zafar, X Liu, AR Javed, Z Jalil… - Telecommunication …, 2021 - Springer
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 …

[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

[HTML][HTML] Mitigation strategies against the phishing attacks: A systematic literature review

B Naqvi, K Perova, A Farooq, I Makhdoom… - Computers & …, 2023 - Elsevier
Phishing attacks are among the most prevalent attack mechanisms employed by attackers.
The consequences of successful phishing include (and are not limited to) financial losses …

[HTML][HTML] Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

[HTML][HTML] Security challenges to smart agriculture: Current state, key issues, and future directions

AR de Araujo Zanella, E da Silva, LCP Albini - Array, 2020 - Elsevier
Smart agriculture integrates a set of technologies, devices, protocols, and computational
paradigms to improve agricultural processes. Big data, artificial intelligence, cloud, and edge …

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 …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

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] Agrisecure: A fog computing-based security framework for agriculture 4.0 via blockchain

S Padhy, M Alowaidi, S Dash, M Alshehri, PP Malla… - Processes, 2023 - mdpi.com
Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …