Webbfill the gap in the literature since, to the best of our knowledge, our literature survey is the first focusing on the security indicators effectiveness in detecting phishing websites in web browsers and human factors associated with it. In our survey, we examine research papers to deter-mine the state-of-the-art of the security indicators ef- WebbVol-7 Issue-3 2024 IJARIIE-ISSN(O)-2395-4396 14717 www.ijariie.com 3063 A Survey on Detection of Phishing Websites using Machine Learning Revati Pote1, Anjali Potdar2, Shubhangi Sapkale3, Manorama Jadhav4, Deepali Ujalambkar5 1 Student, Computer Department, AISSMSCOE PUNE,Maharashtra,India 2 Student, Computer Department, …
Phishing Detection: A Literature Survey IEEE Journals & Magazine IEEE Xplore
Webb1 aug. 2024 · This paper presents a comprehensive survey of different phishing detection techniques with a focus of identifying gaps and proffering solutions to the current … Webb16 maj 2014 · An approach to detection of phishing hyperlinks using the rule based system formed by genetic algorithm is proposed, which can be utilized as a part of an enterprise … tarrant county regional water
PHISHING MITIGATION TECHNIQUES: A LITERATURE SURVEY
WebbPhishing is one of the major problems faced by cyber-world and leads to financial losses for both industries and individuals. Detection of phishing attack with high accuracy has always been a challenging issue. At present, visual similarities based techniques are very useful for detecting phishing websites efficiently. Phishing website looks very similar in … WebbKanju Merlin et al. [16] performed the survey method to detect phishing techniques and algorithms. The survey resulted in ... Eduardo et al. [26] did a systematic literature review on how to face phishing attacks using latest machine learning approaches. The paper highlighted the three ways to alleviate phishing attacks Webb4 dec. 2024 · CUDM uses abnormal behavior detection models to improve the traditional object detection process. The work of CUDM can be divided into two stages. In the first stage, our model cuts the video into images and uses the abnormal behavior detection model to remove a large number of useless images, improving the efficiency and real … tarrant county regional water district