Results 161 to 170 of about 3,253,884 (197)

Cyberattack event and arguments extraction based on feature interaction and few-shot learning. [PDF]

Sci Rep
Han Y, Han W, Li A, Li S.
europepmc   +1 more source

Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems. [PDF]

Sci Rep
Alkhliwi S.
europepmc   +1 more source

Advancing outbreak detection: Hybridizing machine learning with wavelets for weekly dengue case forecasting. [PDF]

PLoS Negl Trop Dis
Eligado AA, Hasegawa T, Hattori Y, Nakamura K.   +3 more
europepmc   +1 more source

Utilisation of website logo for phishing detection

Computers and Security, 2015
Phishing is a security threat which combines social engineering and website spoofing techniques to deceive users into revealing confidential information. In this paper, we propose a phishing detection method to protect Internet users from the phishing attacks.
Wei KING Tiong, Kang Leng Chiew, San Nah Sze   +2 more
exaly   +4 more sources

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, Qingshan Jiang, Tengke Xiong   +2 more
core   +5 more sources

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Phishing Website Detection

2023
Phishing is a common attack on credulous people by making them to disclose their unique information using counterfeit websites. The objective of phishing website URLs is to purloin the personal information like user name, passwords and online banking transactions.
Vinod, M, Vaishnavi, Manne, Tejasree, Dodla   +2 more
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, Muthukumar Arunachalam, Bala Manikanta Eswar Duggisetty, Jaswanth Kumar Reddy Vardireddy   +3 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), 2017
Denizens 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, Kyle Haefner, Indrakshi Ray   +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   +2 more sources