Results 51 to 60 of about 4,265,497 (230)

Hybrid stacked autoencoder with dwarf mongoose optimization for Phishing attack detection in internet of things environment

Alexandria Engineering Journal
With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to this domain because of the number of IoT devices and private data they can handle.
Jawhara Aljabri, Nada Alzaben, Nadhem NEMRI, Saad Alahmari, Shoayee Dlaim Alotaibi, Sana Alazwari, Alaa O. Khadidos, Anwer Mustafa Hilal   +7 more
doaj   +1 more source

AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites

IEEE Access, 2020
Phishing is a type of social web-engineering attack in cyberspace where criminals steal valuable data or information from insensitive or uninformed users of the internet.
Yazan Ahmad Alsariera, Victor Elijah Adeyemo, Abdullateef Oluwagbemiga Balogun, Ammar Kareem Alazzawi   +3 more
doaj   +1 more source

Analyzing Social and Stylometric Features to Identify Spear phishing Emails

, 2014
Spear phishing is a complex targeted attack in which, an attacker harvests information about the victim prior to the attack. This information is then used to create sophisticated, genuine-looking attack vectors, drawing the victim to compromise ...
Dewan, Prateek, Kashyap, Anand, Kumaraguru, Ponnurangam   +2 more
core   +1 more source

Compassionate Digital Innovation: A Pluralistic Perspective and Research Agenda

Information Systems Journal, EarlyView.
ABSTRACT Digital innovation offers significant societal, economic and environmental benefits but is also a source of profound harms. Prior information systems (IS) research has often overlooked the ethical tensions involved, framing harms as ‘unintended consequences’ rather than symptoms of deeper systemic problems.
Raffaele F. Ciriello, Lars Mathiassen, Marten Risius, Marc Cheong, Helana Scheepers, Emmanuelle Vaast   +5 more
wiley   +1 more source

Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting

Mathematics, 2021
The continuous development of network technologies plays a major role in increasing the utilization of these technologies in many aspects of our lives, including e-commerce, electronic banking, social media, e-health, and e-learning.
Altyeb Taha
doaj   +1 more source

Balancing Digital Transformation and Modernization: Pathways for Public Managers

Public Administration Review, EarlyView.
ABSTRACT This study examines the interplay between digital modernization and transformation in the public sector, challenging the notion that they are mutually exclusive strategies. Through interviews with public sector leaders, we find that modernization and transformation can be jointly implemented rather than managed as competing efforts.
Marc E. B. Picavet, Kevin C. Desouza, Gregory S. Dawson, James S. Denford, Daniel Chenok   +4 more
wiley   +1 more source

Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics

IEEE Access
Protecting against interference is essential at a time when wireless communications are essential for sending large amounts of data. Our research presents a novel deep learning technique, the ResNeXt method and embedded Gated Recurrent Unit (GRU) model ...
Faisal S. Alsubaei, A. Almazroi, Nasir Ayub   +2 more
semanticscholar   +1 more source

Phish-IRIS: A New Approach for Vision Based Brand Prediction of Phishing Web Pages via Compact Visual Descriptors

, 2018
Phishing, a continuously growing cyber threat, aims to obtain innocent users' credentials by deceiving them via presenting fake web pages which mimic their legitimate targets.
Aydos, Murat, Bozkir, Ahmet Selman, Dalgic, Firat Coskun   +2 more
core   +1 more source

An Evasion and Counter-Evasion Study in Malicious Websites Detection [PDF]

, 2014
Malicious websites are a major cyber attack vector, and effective detection of them is an important cyber defense task. The main defense paradigm in this regard is that the defender uses some kind of machine learning algorithms to train a detection model,
Xu, Li, Xu, Shouhuai, Ye, Keyin, Zhan, Zhenxin   +3 more
core   +2 more sources

“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India

Regulation &Governance, EarlyView.
ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe, Bonnie J. Palifka, Lasse Buschmann Alsbirk   +2 more
wiley   +1 more source