Phishing detection: a literature survey

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August undefined, 2024

WebbThe work carried out in this study is an update in the previous systematic literature surveys with more focus on the latest trends in phishing detection techniques. This study … Webb15 apr. 2013 · Phishing Detection: A Literature Survey. Abstract: This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities …

Recent Research on Phishing Detection Through Machine Learning …

WebbReal-Time Phishing Detection – A Literature Survey Uthkarsh Sanjay 1, Akshay G R 1, Pushkar Anand 1, Adith A Danthi 1, Ravi P 2 Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka India1, 2 Abstract-Phishing is a serious cybercrime that is affecting thousands of people on the internet. Webb8 feb. 2024 · Phishing detection is now an area of great interest among the researchers due to its significance in protecting privacy and providing security. There are many … greek christmas boat

Detection of Phishing Websites using Machine Learning – IJERT

Webb23 sep. 2024 · In this survey, a systematic review of current trends in web phishing detection is carried out and a taxonomy of web phishing detection is proposed based on … WebbWe used a dataset which contains 37,175 phishing and 36,400 legitimate web pages to train the system. According to the experimental results, the proposed approaches has the accuracy in detection of phishing websites with the rate of 92 % and 96 % by the use of ANN and DNN approaches respectively. Download Free PDF. Webb22 apr. 2024 · This paper reveals the different email and website phishing solutions in phishing attack detection. It first provides a literature analysis of different existing phishing mitigation approaches. It then provides a discussion on the limitations of the techniques, before concluding with an explorationin to how phishing detection can be … greek christian orthodox

A Survey of Phishing Website Detection Systems

Webb3 apr. 2024 · Machine learning is a powerful tool used to strive against phishing attacks. This paper surveys the features used for detection and detection techniques using … 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 … greek christianityWebb22 feb. 2024 · Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still … flow 6

"Webb19 juli 2024 · It is clear from the table that most of the existing literature focused on phishing detection and machine learning. The authors in [ 10 ] and [ 13 ] discussed both machine learning and big data technologies but in different application domains, such as the Internet of Things (IoT) and anomaly detection. " - Phishing detection: a literature survey

Phishing detection: a literature survey

Phishing Website Detection Based on Machine Learning: A Survey

WebbRomiSatriaWahono.Net Lecture Notes in Software Engineering, Computing ... Webb15 apr. 2013 · This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities that exist in systems due to the human factor. …

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WebbThis paper proposes a novel phishing detection approach by considering some attributes that are exploited to conduct attacks. The proposed method works both online and offline mode in a faster way reducing … Webb23 sep. 2024 · Amongst them, phishing is the most deceiving attack, which exploits the vulnerabilities in the end-users. Phishing is often done through emails and malicious …

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 … WebbIn this Systematic Literature Survey (SLR), different phishing detection approaches, namely Lists Based, Visual Similarity, Heuristic, Machine Learning, and Deep Learning based techniques, are studied and compared.

Webb15 juli 2024 · Phishing is one kind of cyber-attack , it is a most dangerous and common attack to retrieve personal information, account details, credit card credentials, … WebbVarious strategies since detecting phishing websites, suchlike as blacklist, heuristic, Etc., have been suggested. However, due to inefficient securing technologies, thither is einer exponential increase in the number concerning victims. The anonymous and uncontrollable basic regarding to Internet is more vulnerable to phishing attacks.

Webb14 juni 2024 · A phishing attack comprises an attacker that creates fake websites to fool users and steal client-sensitive data which may be in form of login, password, or credit …

Webb301 Moved Permanently. nginx greek christmas baublesWebbPhishing Detection: A Literature Survey Mahmoud Khonji, Youssef Iraqi, Senior Member, IEEE, and Andrew Jones Abstract—This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities that exist in … flow 60/90Webb• A literature review of anti-phishing detection strategies is presented, which includes features for detecting phishing emails, software detection techniques as well as user … flow 60k intensifierWebbAbstract. Phishing detection remains one of the most challenging problems currently faced by cyber users as sophisticated phishing schemes evolves rapidly. This paper presents a … flow 60 90WebbAttribution of Spear Phishing Attacks: A Literature Survey Executive Summary Spear phishing is an advanced form of cyber exploitation that targets and exploits the vulnerabilities of human users, often the weakest link in the security chain of a computer system, by means of social engineering. A typical attack of this type would involve an greek christmas boat traditionWebbThe phishing problem is broad and no single silver-bullet solution exists to mitigate all the vulnerabilities effectively, thus multiple techniques are often implemented to mitigate … flow 605Webb1 jan. 2024 · Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. … flow 63 wandsworth