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Phishing detection: a literature survey

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. 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 …

Phishing Detection: A Literature Survey - Semantic Scholar

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 … 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 … sogal ventures and archer roose https://bioforcene.com

Applied Sciences Free Full-Text Detecting Phishing Domains …

Webbof phishing prevention techniques, in addition to encouraging discourse among the professional community about this topic. Keywords: phishing attacks; phishing types; phishing vectors; phishing technical approaches 1. Introduction Phishing is a social engineering technique that, through the use of various methodologies, aims to 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, … 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 sogal somnath temple

Phishing Detection: Analysis of Visual Similarity Based ... - Hindawi

Category:RomiSatriaWahono.Net Lecture Notes in Software Engineering, …

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Phishing detection: a literature survey

Attribution of Spear Phishing Attacks: A Literature Survey - DTIC

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 … WebbPhishing 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 …

Phishing detection: a literature survey

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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, … 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.

WebbA Survey of Phishing Website Detection Systems Prachit Raut1, Harshal Vengurlekar2, Rishikesh Shete3 1,2,3 epartment of omputer ngineering, Vasantdada Patil Pratishthan’s ollege of ngineering and Visual Arts, Mumbai, Maharashtra, India -----***-----Abstract - Phishing URL is a widely used and common technique for cybersecurity attacks. 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 …

WebbAttribution 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 WebbPhishing is an online threat where an attacker impersonates an authentic and trustworthy organization to obtain sensitive information from a victim. One example of such is trolling, which has long been considered a problem. However, recent advances in phishing detection, such as machine learning-based methods, have assisted in combatting these …

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 …

Webb7 mars 2024 · Abstract: Phishing attacks are cybercrime in today's world which are done by social engineering and malware based. It is one of the most dangerous threats that every individuals and organization faced. URLs are known as web links are by which users locate information on the internet. sogand romanticWebb15 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. … sogang korean compact series 1 pdfWebb15 apr. 2013 · Phishing Detection: A Literature Survey. Abstract: This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities … sogand turkish series youtubeWebb1 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. … sog and cogWebb9 aug. 2024 · The term phishing refers to attempts by attackers to trick victims into performing a specific action. The objective of such an action could be manifold: it may aim to make the users click on an email attachment, download and execute a … soga music downloadWebbRomiSatriaWahono.Net Lecture Notes in Software Engineering, Computing ... sogang english coursesWebb19 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. sogand purdue