Webb22 aug. 2024 · Phishing Attacks Detection using Machine Learning Approach Abstract: Evolving digital transformation has exacerbated cybersecurity threats globally. Digitization expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of phishing to steal the confidential user credentials. Webb23 okt. 2024 · To provide a thorough understanding of phishing attack (s), this paper provides a literature review of Artificial Intelligence (AI) techniques: Machine Learning, Deep Learning, Hybrid Learning, and Scenario-based techniques for …
(PDF) Phishing – challenges and solutions - ResearchGate
Webb30 maj 2013 · This paper gives brief information about phishing, its attacks, phishing techniques and steps that users can take to safeguard their confidential information. … WebbFör 1 minut sedan · TEMPO.CO, Jakarta - Flexing, doxing, dan phishing memiliki nada penyebutan yang hampir sama, tetapi memiliki makna berbeda. Penting untuk … cis 10 hedis measure
Detection of phishing attacks IEEE Conference Publication IEEE …
Webb11 okt. 2024 · Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource … Webb5 apr. 2024 · Semantic Scholar extracted view of "Susceptibility to instant messaging phishing attacks: does systematic information processing differ between genders?" by Yi Yong Lee et al. ... Semantic Scholar's Logo. Search 211,597,410 papers from all fields of science. Search. Sign In Create Free Account. DOI: 10.1057/s41300-023-00176-2; Webb10 dec. 2024 · This paper proposes a phishing website detection technique based on integrated learning and deep learning with fast and accurate detection of phishing websites using only URL features. We built a real dataset by crawling 22,491 phishing URLs from phishtank and 24,719 legitimate URLs from Alex and conducted experiments on the … cis 111b