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Ontological Detection of Phishing Emails

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
Detection of phishing emails is a topic that received a lot of attention both from academia and industry due to the devastating effects of phishing enabled data breaches have on private individual and companies. While the accuracy of phishing detection reported in the papers is impressive, the damage from the attacks continues to grow every year.
Gilchan Park, Julia Rayz
openaire   +1 more source

Deep Learning for Phishing Detection

2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018
Phishing attacks have caused significant damage to society. With the popularity of two-dimensional codes, a new type of phishing method called two-dimensional code phishing attacks has been created, which targets mobile users. In recent years, with the popularity of mobile devices, the threat of this new type of phishing attack is increasing, and may ...
Wenbin Yao   +2 more
openaire   +1 more source

PhishCatch - A Phishing Detection Tool

2009 33rd Annual IEEE International Computer Software and Applications Conference, 2009
Phishing has become the most popular practice among the criminals of the Web. Phishing attacks are becoming more frequent and sophisticated. The impact of phishing is drastic and significant since it can involve the risk of identity theft and financial losses.
Weider D. Yu   +2 more
openaire   +1 more source

UI-Dressing to Detect Phishing

2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014
Phishing has been and still is a prevalent attack causing serious damage to numerous ingenuous Internet users every year. Usable security is understood as one required pillar for developing effective protection means in this context. We therefore survey and discuss on available usable security mechanisms against phishing.
Luigi Lo Iacono   +4 more
openaire   +1 more source

Detect phishing by checking content consistency

Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014), 2014
Phishing is a form of cybercrime used to lure a victim to reveal his/her sensitive personal information to fraudulent web pages. To protect users from phishing attacks, many anti-phishing techniques have been proposed to block suspicious web pages, which are identified against registered black-lists, or checked by search engines.
Yi-Shin Chen   +3 more
openaire   +1 more source

Phishing Detection on Twitter Streams

2016
With the prevalence of cutting-edge technology, the social media network is gaining popularity and is becoming a worldwide phenomenon. Twitter is one of the most widely used social media sites, with over 500 million users all around the world. Along with its rapidly growing number of users, it has also attracted unwanted users such as scammers ...
Se Yeong Jeong   +2 more
openaire   +1 more source

An Approach to the Implementation of the Anti-Phishing Tool for Phishing Websites Detection

2009 International Conference on Intelligent Networking and Collaborative Systems, 2009
Phishing attacks have become a serious problem for users of online banking and e-commerce websites. A previous study proposed and evaluated a novel anti-Phishing approach that uses training intervention for Phishing websites detection (APTIPWD). The proposed approach showed that it helped users to make correct decisions in distinguishing Phishing and ...
Abdullah M. Alnajim, Malcolm Munro
openaire   +1 more source

Detection of Phishing Websites

2023
Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers.
Lakshmipathi Gejjala   +3 more
openaire   +1 more source

Visual-similarity-based phishing detection

Proceedings of the 4th international conference on Security and privacy in communication netowrks, 2008
Phishing is a form of online fraud that aims to steal a user's sensitive information, such as online banking passwords or credit card numbers. The victim is tricked into entering such information on a web page that is crafted by the attacker so that it mimics a legitimate page.
MEDVET, Eric   +2 more
openaire   +2 more sources

Phish Block: A Blockchain Framework for Phish Detection in Cloud

Computer Systems Science and Engineering, 2023
R. N. Karthika   +2 more
openaire   +1 more source

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