Results 71 to 80 of about 7,019 (217)
High Accuracy Phishing Detection Based on Convolutional Neural Networks [PDF]
The persistent growth in phishing and the rising volume of phishing websites has led to individuals and organizations worldwide becoming increasingly exposed to various cyber-attacks.
Yerima, Suleiman +3 more
core +1 more source
Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Advancement of the Internet has increased security risks associated with data protection and online shopping. Several techniques compromise Internet security, including hacking, SQL injection, phishing attacks, and DNS tunneling.
Shakeel Ahmad +6 more
doaj +1 more source
ABSTRACT The accelerated digitalisation of society has amplified cybersecurity threats and revealed their cross‐sectoral nature. Yet, the policy instruments used to address these challenges remain insufficiently examined. This study conducts a scoping review of 980 academic articles (2007–2024) and applies Hood's NATO framework (Nodality, Authority ...
Benedetta Cotta, Maria Stella Righettini
wiley +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
In recent years, phishing attacks have gotten more complicated and harder to detect. Technology-based preventative approaches have become utterly ineffective.
Ratna Yudhiyati +2 more
doaj +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
ChatSpamDetector: Large Language Model-Based Phishing Email Detection
Phishing emails continue to pose a serious cybersecurity threat, even though modern email services employ spam filtering, sender authentication, and content-based defenses. In practice, phishing messages may still evade detection, while legitimate emails
Takashi Koide +2 more
doaj +1 more source
Abstract This research examined the relationship between digital competency and perceived organizational support among Nova Scotia public servants and MPA students. Findings revealed a non‐linear developmental progression where reliance on external validation systematically diminished as expertise matures.
Warwick Young, Kristian Suen
wiley +1 more source
HoPhiDeS: Holistic Phishing Detection Score
From 2019 into 2021, phishing incidents tripled, while phishing was found to be the largest used cyberattack vector. One commonly used type of phishing is a credential phishing attack over email. This is an act where an attacker tries to steal credential
Mulder, Tijmen (author)
core
Abstract The war in Ukraine and Israel's successful operations have demonstrated the apparent shift in military operations, strategic defence spending, and innovations. Drawing parallels to the industrial revolution and how it slowly transferred military procurement, training, and deployment, the current study also highlights the AI revolution and the ...
Ehsan Jozaghi
wiley +1 more source

