Webb30 maj 2013 · This paper gives brief information about phishing, its attacks, steps that users can take to safeguard their confidential information. This paper also shows a … WebbThis paper develops and compares four models for investigating the efficiency of using machine learning to detect phishing domains and shows that the model based on the random forest technique is the most accurate and outperforms other solutions in the literature. Phishing is an online threat where an attacker impersonates an authentic and …
Comparison of Credit Card Fraud Detection Techniques
Webbphishing attacks, we conducted systematic literature review of phishing research. The paper is split into five sections which has existing literature on the currently avail-able methods of phishing we offer the methodology and analysis of our research by outlining the protocol and to collect and analyze our data set operations. Figure1. Webb14 apr. 2024 · A report from SlashNext showed a 61% increase in phishing attack vectors with malicious URLs from 2024 to 2024, totalling 255 million. Other sources have reported that phishing was the initial attack vector in 16% of data breaches, with an average cost of $4.91 million. Additionally, a survey by IBM revealed a rise in the cost of security ... incorporate text
190 Best Cybersecurity Research Topics for Students to Consider
WebbCall for Papers, International Journal, Research Paper. A high-speed prosperity in E-Commerce market has been witnessed in recent time throughout the world. With ever inc. International Journal of Science and ... Keywords: E-Commerce, identity theft, phishing, steganography, visual cryptography. Edition: Volume 3 Issue 11, November 2014, Pages ... WebbSuggest me some latest free available research papers related to "Phishing Detection Using Machine Learning Techniques". For my research work. comments sorted by Best Top New Controversial Q&A Add a Comment More posts you may like. r/cybersecurity • Good cyber podcasts for ... WebbTherefore, with the combination of machine learning and data mining techniques we were able to identify the genuine and non-genuine transactions by learning the patterns of the data. This paper discusses both the supervised and unsupervised based classification techniques used for credit card fraud detection. incited mayhem