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Phishing Detection: A Literature Survey
IEEE Communications Surveys and Tutorials, 2013This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities that exist in systems due to the human factor. Many cyber attacks are spread via mechanisms that exploit weaknesses found in end-users, which makes users the weakest element in the security chain. The phishing problem is broad and no single
Youssef Iraqi, Andy Jones
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An Intelligent Anti-phishing Strategy Model for Phishing Website Detection
2012 32nd International Conference on Distributed Computing Systems Workshops, 2012 As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites.
Weiwei Zhuang +2 more
core +3 more sources
YMER Digital, 2022
The phishing email is one of the significant threats in the world today and has caused tremendous financial losses. Phishing is a type of social engineering attack often used to steal user data, including login credentials and credit card numbers.
Gokul R, Felix M Philip
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The phishing email is one of the significant threats in the world today and has caused tremendous financial losses. Phishing is a type of social engineering attack often used to steal user data, including login credentials and credit card numbers.
Gokul R, Felix M Philip
openaire +1 more source
Phish Detect-Real Time Phish Detecting Browser Extension
Journal of Computational and Theoretical Nanoscience, 2020Now a days, hacking has become a trend, where the personal information or user data including login credentials, credit card numbers, such as transaction from our bank accounts, key information from government office, defense etc., which threatens the privacy and property security of netizens in wireless communication. This is being done by creating a
Shiva Nandhini +4 more
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Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
An approach to detection of phishing Web pages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution to antiphishing. A legitimate Web page owner can use this approach to search the Web for suspicious Web pages which are visually similar to the true Web page.
Wenyin Liu +4 more
openaire +1 more source
An approach to detection of phishing Web pages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution to antiphishing. A legitimate Web page owner can use this approach to search the Web for suspicious Web pages which are visually similar to the true Web page.
Wenyin Liu +4 more
openaire +1 more source
Fresh-Phish: A Framework for Auto-Detection of Phishing Websites
2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017Denizens of the Internet are coming under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi +2 more
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Automatic Detection of Phishing Target from Phishing Webpage
2010 20th International Conference on Pattern Recognition, 2010An approach to identification of the phishing target of a given (suspicious) webpage is proposed by clustering the webpage set consisting of its all associated webpages and the given webpage itself. We first find its associated webpages, and then explore their relationships to the given webpage as their features for clustering.
Gang Liu 0008, Bite Qiu, Liu Wenyin
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Cue Utilization, Phishing Feature and Phishing Email Detection
2020Cognitive processes are broadly considered to be of vital importance to understanding phishing email feature detection or misidentification. This research extends the current literature by introducing the concept of cue utilization as a unique predictor of phishing feature detection.
Piers Bayl-Smith +2 more
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Proactive Phishing Sites Detection
IEEE/WIC/ACM International Conference on Web Intelligence, 2019Phishing is one of the social engineering techniques to steal users’ sensitive information by disguising a fake Web site as a trustworthy one. Previous research proposed phishing mitigation techniques, such as blacklist, heuristics, visual similarity, and machine learning.
Akihito Nakamura, Fuma Dobashi
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Email Embeddings for Phishing Detection
2020 IEEE International Conference on Big Data (Big Data), 2020The problem of detecting phishing emails through machine learning techniques has been discussed extensively in the literature. Conventional and state-of-the-art machine learning algorithms have demonstrated the possibility of building classifiers with high accuracy.
Luis Felipe Gutiérrez +4 more
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