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Algorithms, 2023 Security in the blockchain has become a topic of concern because of the recent developments in the field. One of the most common cyberattacks is the so-called phishing attack, wherein the attacker tricks the miner into adding a malicious block to the ...
Kunj Joshi +6 more
doaj +1 more source
Intelligent phishing website detection system using fuzzy techniques. [PDF]
, 2008 Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information.
Aburrous, Maher R. +3 more
core +1 more source
Assessing the impact of affective feedback on end-user security awareness [PDF]
, 2017 A lack of awareness regarding online security behaviour can leave users and their devices vulnerable to compromise. This paper highlights potential areas where users may fall victim to online attacks, and reviews existing tools developed to raise users ...
Archibald, Jacqueline +2 more
core +2 more sources
$1.00 per RT #BostonMarathon #PrayForBoston: analyzing fake content on Twitter [PDF]
, 2013 This study found that 29% of the most viral content on Twitter during the Boston bombing crisis were rumors and fake content.AbstractOnline social media has emerged as one of the prominent channels for dissemination of information during real world ...
Aditi Gupta +2 more
core +1 more source
DeltaPhish: Detecting Phishing Webpages in Compromised Websites
, 2017 The large-scale deployment of modern phishing attacks relies on the automatic exploitation of vulnerable websites in the wild, to maximize profit while hindering attack traceability, detection and blacklisting.
AY Fu +17 more
core +1 more source
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models
Machine Learning and Knowledge ExtractionLarge Language Models (LLMs) are reshaping the landscape of Machine Learning (ML) application development. The emergence of versatile LLMs capable of undertaking a wide array of tasks has reduced the necessity for intensive human involvement in training ...
Fouad Trad, Ali Chehab
semanticscholar +1 more source
Survey on phishing detection research
网络与信息安全学报, 2020 With the continuous development of the internet,the threat posed by phishing to people's daily lives is increasing.As a core security technology against phishing attacks,phishing detection technology can help people effectively avoid security threats ...
Xi FU, Hui LI, Xingwen ZHAO
doaj +3 more sources
AI-Based Phishing Detection and Student Cybersecurity Awareness in the Digital Age
Big Data and Cognitive ComputingPhishing attacks are an increasingly common cybersecurity threat and are characterized by deceiving people into giving out their private credentials via emails, websites, and messages.
Zeinab Shahbazi +2 more
doaj +1 more source
British Journal of Psychology, EarlyView.Abstract Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches
Zoe A. Purcell +4 more
wiley +1 more source
DEPHIDES: Deep Learning Based Phishing Detection System
IEEE AccessIn today’s digital landscape, the increasing prevalence of internet-connected devices, including smartphones, personal computers, and IoT devices, has enabled users to perform a wide range of daily activities such as shopping, banking, and communication ...
O. K. Sahingoz +2 more
semanticscholar +1 more source