Results 51 to 60 of about 2,163 (181)

Governing Cybersecurity in the Digital Age: Mapping Comprehensive Policy Mixes With the Nodality‐Authority‐Treasure‐Organization Lens

Review of Policy Research, Volume 43, Issue 4, July 2026.
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

Phishing Attack and their Prevention

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
Abstract— The paper includes comparison and analysis of various hacking attacks and will propose some preventive measures to it, Cyber security is an important field of computer science, which deals with securing data, system and deals with complex data securing algorithms like encryption decryption. Keywords—Cyber security, hacking attacks, encryption,
openaire   +1 more source

Heuristic machine learning approaches for identifying phishing threats across web and email platforms

Frontiers in Artificial Intelligence
Life has become more comfortable in the era of advanced technology in this cutthroat competitive world. However, there are also emerging harmful technologies that pose a threat.
Ramprasath Jayaprakash, Krishnaraj Natarajan, J. Alfred Daniel, Chandru Vignesh Chinnappan, Jayant Giri, Hong Qin, Hong Qin, Saurav Mallik, Saurav Mallik   +8 more
doaj   +1 more source

An Ensemble Machine Learning With Feature Selection Methods for Detecting Phishing Attacks [PDF]

IJCI International Journal of Computers and Information
Attacks against the internet have increased due to the development of the internet and its application. Phishing attacks are among internet users' most common threats, Especially during COVID-19 with remote working. Phishing is a security attack in which
Mai Abd Elgaleel, Khaled Amin, Hayam Mousa   +2 more
doaj   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
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, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

Investigation of Phishing Susceptibility with Explainable Artificial Intelligence

Future Internet
Phishing attacks represent a significant and growing threat in the digital world, affecting individuals and organizations globally. Understanding the various factors that influence susceptibility to phishing is essential for developing more effective ...
Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang   +3 more
doaj   +1 more source

AI Revolution and Warfare: A New Paradigm Shift in Defence Procurement, Restructuring, Training, and Recruitment

Canadian Public Administration, Volume 69, Issue 2, Page 250-277, June 2026.
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

An Explainable and Carbon‐Aware Stacked Ensemble Model for Phishing and Impersonation Detection in Online Social Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
EcoSecure‐Phish is an explainable, energy‐aware ensemble framework for detecting phishing and impersonation in online social networks. By integrating optimized boosting models with feature selection and sustainability metrics, it achieves high detection accuracy while reducing latency, energy consumption, and carbon impact for scalable, real‐time ...
Romil Rawat, Priyanka Gupta, K. Sakthidasan Sankaran, Vishwas Dixit, Ankita Chourasia, Yagyanath Rimal   +5 more
wiley   +1 more source

Double‐Edged Sword of Social Media Algorithms: Assessing the Risks to University Cybersecurity and Student Data Privacy

Engineering Reports, Volume 8, Issue 5, May 2026.
Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley   +1 more source

EIP-7702 Phishing Attack

CoRR
EIP-7702 introduces a delegation-based authorization mechanism that allows an externally owned account (EOA) to authenticate a single authorization tuple, after which all subsequent calls are routed to arbitrary delegate code. We show that this design enables a qualitatively new class of phishing attacks: instead of deceiving users into signing ...
Minfeng Qi, Qin Wang 0008, Ruiqiang Li, Tianqing Zhu, Shiping Chen 0001   +4 more
openaire   +2 more sources