Social engineering attacks prevention: A systematic literature review

W Syafitri, Z Shukur, U Asma'Mokhtar… - IEEE …, 2022 - ieeexplore.ieee.org
Social engineering is an attack on information security for accessing systems or networks.
Social engineering attacks occur when victims do not recognize methods, models, and …

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

A Kulkarni, V Balachandran… - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …

Systematic Literature Review: Anti-Phishing Defences and Their Application to Before-the-click Phishing Email Detection

T Wood, V Basto-Fernandes, E Boiten… - arXiv preprint arXiv …, 2022 - arxiv.org
Most research into anti-phishing defence assumes that the mal-actor is attempting to harvest
end-users' personally identifiable information or login credentials and, hence, focuses on …

Using Machine Learning to Detect and Classify URLs: A Phishing Detection Approach

Mahesh, Ananth, Dheepthi - 2023 4th International Conference …, 2023 - ieeexplore.ieee.org
It has become absolutely necessary to identify malicious URLs in real time due to the
growing number of cyber-attacks and fraudulent activities that take place on the internet …

CyberGuard-Guarding Against Deceptive Websites

M Wyawahare, R Nagdekar… - 2024 14th International …, 2024 - ieeexplore.ieee.org
Phishing attacks pose a growing threat to online security, necessitating the development of
highly accurate detection tools. Traditional methods reliant on webpage content features …

Accuracy Comparison of Different Machine Learning Models in Phishing Detection

A Chandra, MSJ Immanuel… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The constantly evolving phishing attacks have forced scientists to counter such an attack.
Most phishing attacks come with dangerous links or URLs that can potentially lead to data or …

Review of the effectiveness of machine learning based phishing prevention systems

KS Jishnu, B Arthi - AIP Conference Proceedings, 2023 - pubs.aip.org
We depend on the internet for our daily activities and transactions because of its usability.
But as a result of the growth in internet usage, cyber crimes are also on the rise. Phishing is …

Cyber Attacks Detection and Prevention using Cryptography Algorithms for Industrial Automation

N Chauhan, KS Kumar - 2023 2nd International Conference for …, 2023 - ieeexplore.ieee.org
Most industries and societies couldn't function without industrial control systems (ICSs). If
they collapse, it might have a major effect on the economy and on people's lives. This makes …

The Power of Persuasion: Exploring Social Engineering in the Digital Age

RK Abdelhamid, M Maqableh - Current and Future Trends on Intelligent …, 2024 - Springer
Social Engineering (SE) encompasses various tactics that exploit human vulnerabilities to
execute security attacks. This paper provides a thorough review and synthesis of recent …

Machine Learning-Driven Approaches for Detection and Analysis of Phishing attacks: A Robust Framework for Cybersecurity

N Sarvan, VSR Reddy, D Jain… - 2024 International …, 2024 - ieeexplore.ieee.org
Phishing is the attempt to trick someone into disclosing confidential and private information
by using internet communication, such as bank account details, passwords, credit/debit card …