Results 51 to 60 of about 2,777,664 (208)
Advancing AI, Virtue Enhancement, and the Need for Niebuhrian Virtues of Moral Vigilance
ABSTRACT This paper considers the possibility of AI being employed to improve moral character from the perspective of an account of virtues that is psychologically realistic (the HEIS model). It is informed by a Christian agapeic ethic oriented toward goods of creaturely well‐being that ground right action.
Gregory R. Peterson
wiley +1 more source
“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India
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 +2 more
wiley +1 more source
Enhancing Phishing Email Detection through Ensemble Learning and Undersampling
In real-world scenarios, the number of phishing and benign emails is usually imbalanced, leading to traditional machine learning or deep learning algorithms being biased towards benign emails and misclassifying phishing emails.
Qinglin Qi +4 more
doaj +1 more source
Scalable Detection and Isolation of Phishing [PDF]
This paper presents a proposal for scalable detection and isolation of phishing. The main ideas are to move the protection from end users towards the network provider and to employ the novel bad neighborhood concept, in order to detect and isolate both phishing e-mail senders and phishing web servers.
Moura, Giovane C.M., Pras, Aiko
openaire +1 more source
PhishStorm: Detecting Phishing With Streaming Analytics [PDF]
Despite the growth of prevention techniques, phishing remains an important threat since the principal countermeasures in use are still based on reactive URL blacklisting. This technique is inefficient due to the short lifetime of phishing Web sites, making recent approaches relying on real-time or proactive phishing URLs detection techniques more ...
Samuel Marchal +3 more
openaire +4 more sources
Personalized Model‐Driven Interventions for Decisions From Experience
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford +6 more
wiley +1 more source
Over the last few years, web phishing attacks have been constantly evolving causing customers to lose trust in e-commerce and online services. Various tools and systems based on a blacklist of phishing websites are applied to detect the phishing websites.
Waleed Ali, Sharaf Malebary
doaj +1 more source
Model‐Based Cybersecurity: Automating Common Vulnerabilities Reporting
ABSTRACT The Common Vulnerabilities and Exposures (CVE) Program's mission is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. A cybersecurity practitioner who suspects a software, hardware, or service vulnerability, can initiate a CVE‐ID Requesting process, as defined by MITRE.
Ahmad Jbara, Dov Dori
wiley +1 more source
Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions
Internet dragged more than half of the world's population into the cyber world. Unfortunately, with the increase in internet transactions, cybercrimes also increase rapidly.
M. Vijayalakshmi +3 more
doaj +1 more source
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

