A Study on Phishing Detection Techniques

Social engineering attacks are techniques which are employed by malicious threat actors to manipulate users into revealing their sensitive data and thereby compromising it. Phishing is one such type of social engineering attack. Nowadays, phishing has caused a lot of havoc in the world and therefore, it is vital to be aware of phishing attacks and its various techniques. In this paper, we have presented various types of phishing attacks which are employed by threat actors. Several techniques which can be used for phishing detection are also discussed in this paper. Moreover, this paper compares phishing detection techniques based on deep learning like Convolutional Neural networks (CNN), Deep Reinforcement Learning (DRL), Recurrent Neural Networks (RNN), etc.

Authors

Institutions

Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/ccict65753.2025.00056
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Phishing Detection Techniques

K Shilpa, Priti Singla, Narinder Kumar, Nisha Goyal et al.
1 citations
Spam and Phishing Detection
3.25
article

A Study on Phishing Detection Techniques

K Shilpa, Priti Singla, Narinder Kumar, Nisha Goyal, Pooja Sharma, Kiranpreet Kaur
article en
1 citations

Abstract

Social engineering attacks are techniques which are employed by malicious threat actors to manipulate users into revealing their sensitive data and thereby compromising it. Phishing is one such type of social engineering attack. Nowadays, phishing has caused a lot of havoc in the world and therefore, it is vital to be aware of phishing attacks and its various techniques. In this paper, we have presented various types of phishing attacks which are employed by threat actors. Several techniques which can be used for phishing detection are also discussed in this paper. Moreover, this paper compares phishing detection techniques based on deep learning like Convolutional Neural networks (CNN), Deep Reinforcement Learning (DRL), Recurrent Neural Networks (RNN), etc.

Chandigarh University (IN), Rayat Bahra University (IN)
Openalex Percentile: Top 7%
Spam and Phishing Detection
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.