Results 31 to 40 of about 2,163 (181)
Phishing Detection System Through Hybrid Machine Learning Based on URL
Currently, numerous types of cybercrime are organized through the internet. Hence, this study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has become the most severe and dangerous cybercrime on the internet.
Abdul Karim +4 more
doaj +1 more source
Toward a phishing attack ontology. [PDF]
Phishing attacks are the most common form of social engineering where attackers intend to deceive targeted people into revealing sensitive information or installing malware. To understand the dynamics of phishing attacks and design suitable countermeasures, particularly the promotion of phishing awareness, cybersecurity researchers have proposed ...
Oliveira, Ítalo +2 more
openaire +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Abstract: The Internet has a remarkable platform for common people communication. People with criminal mind have found a way of stealing personal information without actually meeting them and with the least risk of being caught. It`s far known as Phishing. Phishing poses a big danger to the e-commerce enterprise.
Josmy Joseph, Merin Manoj
openaire +1 more source
A review of organization-oriented phishing research [PDF]
The increased sophistication and frequency of phishing attacks that target organizations necessitate a comprehensive cyber security strategy to handle phishing attacks from several perspectives, such as the detection of phishing and testing of users ...
Kholoud Althobaiti, Nawal Alsufyani
doaj +2 more sources
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Phishlimiter: A Phishing Detection and Mitigation Approach Using Software-Defined Networking
Phishing is one of the most harmful social engineering techniques to subdue end users where threat actors find a chance to gain access to critical information systems.
Tommy Chin, Kaiqi Xiong, Chengbin Hu
doaj +1 more source
AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites
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
MACHINE LEARNING METHODS FOR PHISHING ATTACKS
The basis of cybersecurity is an understanding of the mechanisms of social engineering. This increases the effectiveness in combating this type of manipulation. One of them is phishing.
Mirat Medelbekov +2 more
doaj +1 more source
Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
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

