Results 41 to 50 of about 52,374 (182)

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps

open access: yesJournal of Corporate Accounting &Finance, EarlyView.
ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley   +1 more source

Developing and evaluating a five minute phishing awareness video [PDF]

open access: yes, 2018
Confidence tricksters have always defrauded the unwary. The computer era has merely extended their range and made it possible for them to target anyone in the world who has an email address.
DD Caputo   +16 more
core   +3 more sources

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

open access: yesEnergy Internet, EarlyView.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi   +5 more
wiley   +1 more source

Phishing Attacks Survey: Types, Vectors, and Technical Approaches

open access: yesFuture Internet, 2020
Phishing attacks, which have existed for several decades and continue to be a major problem today, constitute a severe threat in the cyber world. Attackers are adopting multiple new and creative methods through which to conduct phishing attacks, which ...
Rana Alabdan
doaj   +1 more source

Evolutionary Algorithm with Deep Auto Encoder Network Based Website Phishing Detection and Classification

open access: yesApplied Sciences, 2022
Website phishing is a cyberattack that targets online users for stealing their sensitive data containing login credential and banking details. The phishing websites appear very similar to their equivalent legitimate websites for attracting a huge amount ...
Hamed Alqahtani   +7 more
doaj   +1 more source

Predicting Phishing Websites using Neural Network trained with Back-Propagation [PDF]

open access: yes, 2013
Phishing is increasing dramatically with the development of modern technologies and the global worldwide computer networks. This results in the loss of customer’s confidence in e-commerce and online banking, financial damages, and identity theft ...
McCluskey, T.L.   +2 more
core  

Characterizing Phishing Threats with Natural Language Processing

open access: yes, 2015
Spear phishing is a widespread concern in the modern network security landscape, but there are few metrics that measure the extent to which reconnaissance is performed on phishing targets.
Kotson, Michael C., Schulz, Alexia
core   +1 more source

Phishing or Not Phishing? A Survey on the Detection of Phishing Websites

open access: yesIEEE Access, 2023
Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still very active and successful. In fact, the tactics used by attackers have been evolving continuously in the years to make the attacks more convincing and effective.
Rasha Zieni   +2 more
openaire   +3 more sources

Affordances, dread, and online fraud: Exploring and advancing social learning theory in online contexts

open access: yesCriminology, EarlyView.
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley   +1 more source

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